Congratulations to our fellow Mike Nguyen for publishing his research in EngRxiv //
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Our students

Photo of Mike

Mike

VNU High School for the Gifted

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Recep

London School of Economics (LSE)

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Abdul

Eton College

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Rena

University of Leiden

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Tracy

Colby College, Princeton University, Harvard Medical School

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Clara

Fulbright University

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Bao

Berlin University of Technology

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Natalia

Leweston School, University of Cambridge, WHO

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Royal

University of North Carolina at Chapel Hill

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Catherine

Nanyang Junior College

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Hazel

Stanford University

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Cindy

VinSchool Hanoi

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Mai

The Hotchkiss School

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Dan

University of Queensland

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Kevin

Farragut Academy

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Ly

Lake Forest Academy

/ Research and AI engineering fellowships for students aged 14 and above /

Work at the frontier of knowledge while you are still at school.

Because of AI, what humanity knows is moving faster than any curriculum can follow. Two Sigma Lab closes that gap by pairing exceptional students with professor-level faculty and professional mentors to solve unresolved problems in science, technology and engineering, and to build the papers, tools and ventures that show the world what they can do.

/ our fellows /

Work that admissions officers and employers can verify

Two Sigma Lab fellows finish with artefacts that stand on their own: papers on public preprint servers and, where the work earns it, in international journals, and working AI tools. Students mentored by our founder and faculty have won places at universities including Cambridge, Harvard, Oxford, Stanford and MIT.

of students mentored by our founder and faculty were admitted to their dream college
92%

Students mentored by our founder and faculty have been admitted to

  • Harvard logo
  • Stanford logo
  • Yale logo
  • Oxford logo
  • Cambridge logo
  • MIT logo
  • Princeton logo
  • ETH Zurich logo
  • Columbia logo
  • UCL logo
  • King’s College London logo
  • LSE logo

/ our mission /

The frontier of knowledge is moving faster than any school can teach.

With AI, the pace of discovery in science, technology and engineering has broken away from the pace of education, and the gap keeps widening.

Two Sigma Lab closes that gap for students who are ready for it. We pair each student with professor-level faculty and professional mentors to work on unresolved problems and build something real: a research paper, a working piece of technology or the beginnings of a company. That work carries weight where it matters, in internship, job and university applications decided by people trained to recognise outlier talent.

Every admissions officer can recognise an outlier talent. It takes outlier talents to shape them.

/ your fellowship /

From an open problem to an artefact the world can see

  1. STEP 1

    Map

    Our Scientific Atlas charts unresolved problems across thousands of fields in science, technology and engineering. You find the ones where your talent can make a difference now.

  2. STEP 2

    Match

    You are paired with a professor-level faculty member or a professional mentor who works on that problem for a living. Every mentor is a working professional. None is a student.

  3. STEP 3

    Build

    You generate data, write code, test ideas and defend your reasoning the way practising scientists and engineers do, with weekly sessions and AI tools that take the busywork so you can focus on the thinking.

  4. STEP 4

    Publish

    You finish with an artefact: a manuscript on a preprint server and, where the work earns it, in an international peer-reviewed journal; a working tool or product; or a venture with its first users.

  5. STEP 5

    Be vouched for

    Your faculty put their name to your work as co-authors and supervisors. You join a network of alumni, faculty and partners that grows every year and can speak for what you have done.

Open problems. Professional mentors. Artefacts the world can see. //

/ our faculty /

Your mentors work at the frontier of science and technology.

Two Sigma Lab faculty are professor-level researchers and senior practitioners, trained at Harvard, Cambridge, Oxford, MIT, Yale and their peers, who publish in leading journals, build technology used by millions and win international awards. They mentor because they want the next generation to start earlier than they did. Every mentor is a working professional, and we have never placed a student in a mentoring role.

citations
19,000+
peer-reviewed papers
260+
in top-quartile (Q1) journals
80%

Sources: Google Scholar, SCImago Journal Rank and LinkedIn, November 2026

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John Rodrigues, MS

Senior Product Designer at JPMorgan Chase, MS in User Experience and Interaction Design, Thomas Jefferson University

BIO

AI Product Design Leader and Author

John Rodrigues is a Senior Product Designer at JPMorgan Chase, an AI strategist, and the author of The AI Design Playbook, which he describes as a resource trusted by over 1,500 industry leaders. He is also the founder of AI Design Academy, where his work helps designers build practical skills for designing in an AI-first world through structured frameworks and portfolio-ready outcomes.

Building AI Initiatives in Enterprise Products

At JPMorgan Chase, John leads AI design initiatives and has developed an AI agent design framework while hosting AI workshops to support teams adopting new workflows. He previously worked at Citi, where he designed an AI insights app and pitched the concept to executives, applying product strategy and design storytelling to real business opportunities.

Credentials and Mentorship for the Next Generation

John holds a Master’s degree in Interaction Design from Thomas Jefferson University, a Bachelor’s degree in Engineering, and an AI certification from Stanford University. He is recognized as a Top 10 mentor on ADPList and has built a large LinkedIn community, using mentorship and writing to help emerging designers stay ahead as AI reshapes product design careers.

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Olga Loginova, MA

Amnesty Media Award Winning Journalist & Filmmaker

WHY WORK WITH ME?

I love working with self-motivated, gritty and intellectually curious students.

BIO

Investigative Journalism and Documentary Storytelling

Olga Loginova is a New York-based journalist and documentary filmmaker passionate about telling stories of environmental justice, scientific wonders, and human rights. She is the producer, reporter and host of the nonfiction narrative podcast 'Leaving the Island', which investigates the first federally funded climate change-driven community resettlement in the U.S. Olga’s print and visual work has appeared in The Margin, The Guardian, Al Jazeera, The Center for Public Integrity, Type Investigations, Yahoo! News, PopSci, VICE News, Eurasianet, RFE/RL and others.

Award-Winning Reporting and Fellowship Experience

Olga Loginova is a recipient of the 2023 Amnesty International Media Award. She is the 2025 Logan Science Journalism Fellow, the 2024 Joan Konner Fellow in the Journalism of Ideas Program, the 2021 Columbia Journalism Investigations Fellow. Olga Loginova holds a Master of Arts degree in science, health and environmental reporting from Columbia University, and an MA in broadcast and cinematic arts from Central Michigan University.

Mentoring the Next Generation of Writers and Filmmakers

As an award-winning industry expert, Olga Loginova is passionate about sharing her experience and mentoring the young generation of writers and storytellers, be it in creative fields or academia, from college essays to film treatments, and finished multimedia projects. Her prior teaching and mentorship experience includes teaching at Minsk State Linguistics University in her home country Belarus, as well as group and individual mentorship for aspiring filmmakers at The Old School Films and The Bronx Documentary Center in New York, USA.

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Titus Hoang, MD, PhD

MD, PhD in Neuroscience & Biotechnology, University of Cambridge, Harvard University, MIT & Yale

WHY WORK WITH ME?

I have trained and mentored over 500 students and young professionals all over the world, many of whom went on to attend elite universities and join Fortune 500 companies. Attending top global universities opens up unique opportunities to build skills, network and credentials that last a lifetime. It is my privilege to help you unlock these grand opportunities for yourself.

BIO

Ground-breaking Research

Titus is a neuroscientist, entrepreneur and educator with 20 years of experience. His research has changed our fundamental understanding of biology and was published in the world’s top journals such as PNAS and Science Magazine. Titus won national and international awards, and has pioneered technology for the creation of new drug targets by pharmaceutical companies such as AstraZeneca.

Transformational Mentor

Leveraging his expertise in neuroscience and education, Titus takes an interdisciplinary approach towards education design that blends coaching. He firmly believes that in order to maximize learning outcomes, students first have to believe in themselves and be made aware of their unique strengths through experienced mentors.

Developing A New Paradigm for STEAM Education

Titus conceived the Human-led, AI-empowered education platform of Two Sigma Lab, which has proven to unlock untapped innovative potential in students. He is building towards a world where a teenager can do ground-breaking research leveraging AI.

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Murray Cox, PhD

Honorary Professor at the University of Auckland, NZ, PhD in Biochemistry, DSc in Computational Biology

WHY WORK WITH ME?

I am excited about the prospects of leveraging AI tools to maximize scientific reasoning skills and academic outcomes for students.

BIO

Exceptional Mentorship & Talent Development

Murray has profoundly shaped the careers of 17 postdocs, 18 PhD students, and hundreds of undergraduates. His guidance has empowered his students to secure highly competitive scholarships and positions at elite institutions worldwide, including Oxford, Cambridge, and Harvard, underscoring his commitment to nurturing the next generation of scientific leaders.

Pioneering Interdisciplinary Research

Murray’s cutting-edge research is at the intersection of biological data with statistics, bioinformatics, and complex systems. His work directly tackles critical challenges from AgriTech innovations to pressing human health issues.

International Awards & Honors

Murray’s groundbreaking contributions to biological data analysis have earned him prestigious accolades, including the 2017 Te Rangi Hīroa Medal and the 2022 Hector Medal. With over 150 publications in top-tier journals like Nature and Cell, his research consistently garners global media attention from outlets such as National Geographic, The Economist, BBC, and The New York Times, showcasing his wide-reaching influence.

Global Academic Network

As a Fellow of the Royal Society of New Zealand, with two doctorates and esteemed Honorary and Emeritus Professorships, Murray holds a distinguished position in global academia. His extensive international engagements include pivotal roles at the University of Cambridge, Santa Fe Institute for Complexity Science, University of Oxford (St John’s College), Germany’s Max Planck Institute, University of Melbourne, and University of Toulouse.

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Sarah LeBaron von Baeyer, PhD

PhD in Sociocultural Anthropology, Yale University, USA

WHY WORK WITH ME?

I have always been drawn to understanding the experiences of people different from myself, whether through literature or the study of other cultures and languages, and I love working with students to do the same.

BIO

Global Ethical Innovation

Sarah is at the forefront of applying anthropological principles to ethical practices in scientific research that impact communities worldwide. Her groundbreaking work in cultural anthropology and research ethics has earned international acclaim, with her insights featured in prestigious publications like The New York Times. Her extensive global fieldwork spanned diverse countries, including Japan, Brazil, Jordan, Madagascar, Tahiti, Kenya, New Zealand, and New Caledonia.

Cultivating Future Leaders

Sarah has over a decade of experience as a university lecturer at institutions like Yale and Tufts and is dedicated to mentoring students and fostering a learning environment that champions empathy, curiosity, and creativity, inspiring the next generation of critical thinkers.

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Ly Nguyen, PhD

PhD in Biomedical Sciences, Johns Hopkins University, USA

WHY WORK WITH ME?

Mentorship is at the heart of my work. I have guided multiple high school students in the Baltimore area, many of whom gained admission to top universities such as Stanford and Yale, and I continue to mentor aspiring scientists preparing for college and graduate school.

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Drew Falkman

Director of Product Strategy, Modus Create, and LinkedIn Learning instructor

WHY WORK WITH ME?

I have had a long career in tech, and personally, never had any mentors or anyone to help guide me through the process, which meant I had to learn a lot of things the hard way. Through mentoring and training, I have been able to help my students and mentees avoid making these same mistakes, and it’s very rewarding to me to watch them leapfrog to the next level.

BIO

AI Product Leadership and Innovation

Drew Falkman is a seasoned product leader working at the intersection of AI, product management, startups, and innovation. A LinkedIn Top Voice, he is known for pairing strategic clarity with hands-on execution to help teams move from ideas to products that launch, learn, and scale.

Product Strategy Consulting and Industry Impact

Across startups and established companies, Drew has led product strategy and growth with a strong focus on product discovery and delivery. As Director of Product Strategy at Modus Create, he built and scaled a product strategy consulting practice supporting fast-paced teams. His leadership also includes successful product work for HP, Adobe, and a wide range of other companies and startups.

Teaching and Coaching for Real-World Outcomes

Drew is also an instructor, consultant, and product coach who teaches practical, applied skills. As an Adjunct Instructor and LinkedIn Learning educator, he has created courses such as The Chief Technology Officer Career Guide, AI for Product Designers, and Data-Driven Product Management. He has trained students from Atlassian, Adobe, American Airlines, Nasdaq, and Citi, helping professionals strengthen product thinking and apply modern AI and product tools with confidence.

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Karen Mak, PhD

PhD in Human Behavior & Sociology, University of Cambridge, UK

WHY WORK WITH ME?

As a supervisor I enjoy mentoring and guiding students and early career researchers on research projects and providing them with opportunities to flourish and thrive. I have supervised 25+ students and postdoctoral fellows, many of whom earned Distinctions.

BIO

Transformative Research with Global Reach

Karen’s groundbreaking research, featured in over 50 international journals including top journals like Nature Medicine, directly informs global health policies with organizations like the World Health Organization (WHO), proving the real-world impact of social and cultural engagement on health worldwide.

Cultivating Global Future Leaders

With a proven track record, Karen has mentored over 25 students and researchers, many achieving Distinctions or securing advanced studies and fellowships, fostering the next generation of academic talent.

Elite Recognition and International Influence

Recognized as a World Economic Forum Global Shaper and an award winner, including the prestigious Elsevier-Fulbright Communication Award, Karen’s work influences leading institutions like the BBC and National Geographic, reaching thousands globally.

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Joseph Beyene, PhD

PhD in Biomedical Sciences, Harvard University, USA

WHY WORK WITH ME?

Whether you’re aiming to publish research or craft a standout Ivy League application, I offer insight and mentorship grounded in experience at the highest levels of academic and scientific achievement.

BIO

Pioneering Research Improving Human Health

Joseph’s groundbreaking research, developed at Harvard, has not only been published in leading scientific journals but has also directly led to real-world biomedical innovations that are being translated into commercial products, demonstrating a profound impact on society.

Shaping Future Leaders, Harvard-Bound and Beyond

As a former Harvard College teaching fellow and adjunct professor, Joseph has a proven track record of mentoring students who have gone on to gain admission to elite institutions, including Harvard, equipping them with the critical thinking and scientific rigor needed for top-tier success.

Elite Recognition from Industry Awards

Joseph’s work has earned him prestigious industry awards, including LabCentral’s Golden Ticket from powerhouses like Johnson & Johnson, Pfizer, and Eli Lilly.

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Mahnaz Hajesmaeili, MA

Product Designer in AI-powered Learning, Wellness, and Inclusion and MA in EMDD, Ball State University

WHY WORK WITH ME?

I’m excited to teach product skills because they help young students learn how to turn curiosity into real-world solutions, combining their creativity, empathy, and problem-solving to build things that genuinely help people.

BIO

AI Behavioral Design

Mahnaz Hajesmaeili is a Product Designer working at the intersection of AI, behavior, and human-centered systems, with a focus on building ethical, accessible experiences for learning, wellness, and inclusion. Her work combines behavioral science, UX strategy, and rapid prototyping to turn complex ideas into usable, supportive tools that help people learn, feel empowered, and access information more easily.

Research-Driven Prototyping

With 5+ years of research-driven design experience across education, wellness, media literacy, and social impact, Mahnaz is known for translating insights into clear frameworks, fast iterations, and behaviorally informed solutions. Her practice emphasizes practical experimentation and responsible design decisions, especially when applying GenAI and emerging technologies in real-world products.

Cohort Instructor and Mentor

As a co-instructor of a Maven course on GenAI-powered Experience Design leveraging the Make It Toolkit, Mahnaz mentors participants through hands-on workflows to design, prototype, and validate behavioral science-informed, AI-driven solutions. She has trained students from Caterpillar, Everwise Credit Union, Aditya Birla Group, and McKesson, helping them build confidence and produce work they can clearly communicate and apply.

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Aaron Judd, PhD

PhD in Music History & Literature, Yale University, USA

WHY WORK WITH ME?

The world of learning is evolving rapidly, and yet the quest for a deep and fulfilling human life is timeless. Students find their niche as they grow into mature learners, somewhere between adaptation to the future and revival of the past. It’s my honor to join them on this journey of growth and discovery.

BIO

Pioneering Research

Aaron’s doctoral research at Yale illuminated the musical portrayal of China’s geography, offering a unique lens on cultural expression and contributing to the global understanding of contemporary music. Aaron is a Fulbright scholar with over 10 years of experience teaching and mentoring students in China and the USA.

Transformative Educational Impact

Aaron co-founded Basilica Education, through which he has mentored hundreds of students and helped them gain admission to highly selective universities in the US, UK, and beyond.

Holistic Interdisciplinary Approach

With a background spanning music, literature, and history, Aaron cultivates critical thinking and creativity, preparing students to excel across diverse academic fields and real-world challenges.

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Aurél Prosz, PhD

PhD in Health Sciences, University of Copenhagen, DK

WHY WORK WITH ME?

I have experience in educating teachers and middle school pupils (ranging from small groups to several dozen people) on the practical use cases of AI tools. I’m always positively surprised how naturally and quickly they learn how to use these tools to further their studies and to learn about new topics.

BIO

Pioneering Research

Aurél has authored over 10 publications in leading scientific journals, introducing innovative AI-driven methods that are advancing the fight against diseases like gastric cancer and deepening our understanding of aging.

Inspiring the Next Generation

With a passion for nurturing young minds, Aurél has extensive experience mentoring students, including high schoolers, and educating teachers on the practical applications of AI tools, fostering a new wave of scientific discovery.

Groundbreaking Contributions to AI in Education

Aurél has demonstrated a remarkable ability to empower non-professional individuals, from middle school pupils to teachers, to quickly and effectively utilize AI for learning and problem-solving, showcasing the transformative potential of artificial intelligence in education.

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Kai Wong, MS

UX practitioner with 13 years of experience, MS in Human Computer Interaction, University of Maryland Baltimore County

BIO

UX Leadership in Low-Maturity Organizations

Kai Wong is a UX practitioner with 13 years of experience designing in low-maturity organizations, where influence and communication matter as much as craft. He is also the No 2 UX writer on Medium, known for translating complex design work into clear, practical insights that teams can apply.

Designing for High-Impact, Data-Centric Domains

With over a decade of experience across data-centric domains such as healthcare, federal services, and B2B SaaS, Kai has designed products that support vulnerable populations, including patients, senior citizens, and medical professionals. These environments demand high clarity, trust, and accessibility, and they also require designers to navigate complex constraints and cross-functional priorities.

Communicating UX Value with Data and Storytelling

Much of Kai’s career has been spent working as a “UX team of one,” advocating for user-centered thinking inside organizations that may not fully understand UX. Through that experience, he developed a communication style grounded in measurable outcomes and data-focused viewpoints, helping design decisions earn buy-in from product, engineering, and leadership teams.

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Judith Weber, PhD

PhD in Chemistry, University of Cambridge & Stanford University, UK, USA

WHY WORK WITH ME?

Being a first-generation academic in my family, I have received some of the most competitive scholarships throughout my career and want to support future generations of students to achieve their academic and professional dreams globally.

BIO

Pioneering Cancer Detection Through Biomedical Innovations

Judith’s research in biomedical chemistry and imaging has helped to improve methods for early detection of cancers and other diseases.

Published in Top Global Journals

Her work, for which she received numerous national and international awards, was published in the top biomedical journals.

Fostering Future Scientists and Critical Thinkers

Apart from her scientific work, Judith is passionate about teaching and mentoring and has helped many students develop future-ready scientific reasoning skills and improved their academic performance at the college and university level. Being a first-generation academic in her family, Judith has received some of the most competitive scholarships throughout her career and wants to support future generations of students to achieve their academic and professional dreams globally.

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Dekai Zhang, PhD

Researcher at Meta, PhD in Artificial Intelligence & Computer Science at Imperial College London, UK

WHY WORK WITH ME?

I have had the pleasure of working with very talented students on research projects, such as making AI more robust and interpretable and developing vision-language models. I love working with students because they bring fresh perspectives and genuine curiosity. I aim to make complex ideas approachable and exciting, helping students grow into independent problem-solvers.

BIO

Multidisciplinary Scientist with Scope from Finance to Machine Learning

Dekai is a research scientist at Meta where he delivers personalized experiences to users at scale leveraging AI. Dekai holds a PhD in Machine Learning from Imperial College London and degrees in Economics from LSE and Cambridge. Before joining the tech world, Dekai worked in private equity and investment banking with a short stint in quantitative finance.

Mentoring Students on High-Impact AI Projects

Dekai has worked with many talented students on research projects that aimed to make AI more robust and interpretable and to develop vision-language models. He loves working with students because they bring fresh perspectives and genuine curiosity. He aims to make complex ideas approachable and exciting, helping students grow into independent problem-solvers.

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Noah Collins, PhD

PhD in Genomics & Anthropology, Princeton University, USA

WHY WORK WITH ME?

I believe leveraging each student’s unique experiences is key to strong graduation outcomes. I help students reach their full potential, no matter their background, by guiding them on projects they are passionate about.

BIO

Global Expertise in Interdisciplinary Science

Noah has spent over a decade working at the intersection of precision medicine, Indigenous health, science policy, and genomics around the world. He is currently continuing this work with Princeton University, driving research that turns frontier science into real-world impact.

Building the Next Generation of Leaders

Noah believes the future of the field depends on empowering top students. His approach helps students and collaborators push boundaries and create innovation across sectors.

Global Recognition

A Fulbright Scholar, Noah’s work is featured in leading journals. He is an acclaimed public speaker on topics ranging from genetics to anthropology to Indigenous human rights.

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Sai Li, PhD

PhD in Psychology, University of Cambridge, UK

WHY WORK WITH ME?

I am excited to teach how to use ML to understand user insights that can be leveraged for powerful product design.

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Yuying Chen-Wynn, MEng

Global Leader in Strategic AI, MEng in Computer Science and Electrical Engineering

BIO

Leading Enterprise AI Where It Matters Most

Yuying Chen-Wynn is the Global Leader, Strategic AI at CohnReznick, where she leads AI transformation work. She previously served as Head of AI at PEAK6, leading Generative AI across buy, build, invest, and risk management for a multi-billion-dollar family of companies. Earlier, she was Chief Product Officer at Barnes and Noble Education, and she brings 20-plus years of product experience, including 13 years building AI products across Big Tech, FinTech, and EdTech.

Turning Generative AI Into Measurable ROI

Her work is grounded in real delivery, not hype. Across nine companies, she reports delivering 30 million dollars plus in savings and contributing to 500 million dollars in valuation increases, including 6 million dollars plus in savings in year one of implementation. She has led Generative AI strategy across regulated financial services, education and edtech, and entertainment, giving her a rare mix of technical depth, business strategy, and risk and compliance awareness as AI capabilities and risks evolve rapidly.

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Aleksandra Marczak

Food scientist with expertise in biotechnology, nutrition, and sustainable food innovation

WHY WORK WITH ME?

Having mentored students at various stages of their education, I view mentorship as a partnership where we work together to explore ideas, tackle challenges, and learn to think critically in a comfortable, engaging atmosphere.

BIO

Sustainable Food Innovation

Aleksandra is a food scientist for the world’s #1 restaurant, with expertise in biotechnology, nutrition, and sustainable food innovation. She has collaborated with world-renowned food scientists and chefs, worked in leading food innovation hubs, and led and contributed to initiatives shaping the future of food together with universities and the world’s most active NGOs in the sector.

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Vignesh Prasad

Former Creator Growth UX Lead at Google, now at Ebury, with 15+ years building digital products

WHY WORK WITH ME?

What excites me most is helping students connect what they learn to the world around them. I believe every student has the potential to thrive with the right guidance, encouragement and structure.

Parents can trust that I approach teaching with care, clarity and purpose. I aim to simplify complexity, build confidence and help students grow into thoughtful, capable problem-solvers both in and out of the classroom.

/ our promise /

We put our name to your work.

When a Two Sigma Lab fellow publishes a paper, a faculty member stands beside them as co-author. When a fellow ships a tool or founds a venture, a mentor who built such things for a living has supervised every step. Our faculty sign their names to what our students make, and they answer for it to journal editors, admissions committees and employers.

That is why every fellow is chosen by interview before any work begins, and why we take on only the students our faculty are willing to vouch for. A paper with a professor’s name on it, a product with a senior engineer behind it and a reference from someone who has watched you work are things no template can produce.

  • Co-authored, never ghost-written.

    Students are first authors. Faculty are co-authors who vouch for the rigour.

  • Published where it is checked.

    Every completed project goes on a public preprint server, and the strongest go on to international peer review.

  • References from people who were there.

    Faculty who supervised the work can be asked to speak for it, for university, scholarship and career applications.

/ our fellowships /

Every problem is real. Every project is yours.

Each fellow works on an unresolved problem chosen from the Atlas and shaped with their faculty, so no two projects are alike and none is a template. You choose the depth: a three-month research cohort or capstone, a six-month fellowship aimed at international publication or a working AI product, or a ten-month fellowship that becomes the centrepiece of your university applications.

Fellowship Pathways

  • Research Cohort

    Description:
    Small-group research on an open problem, designed and mentored by faculty.
    Duration:
    3 months
  • Capstone Fellowship

    Description:
    One idea, one mentor, one finished manuscript or portfolio.
    Duration:
    3 months
  • Advanced Fellowship

    Description:
    Deep faculty engagement towards an international publication or a fully developed innovation project.
    Duration:
    6 months
  • AI Impact Fellowship

    Description:
    Build an AI tool that addresses a real problem at scale, supervised by senior engineers.
    Duration:
    6 months
  • Two Sigma Fellowship

    Description:
    The full arc from open problem to professional-grade artefact, built to anchor your university applications.
    Duration:
    10 months

Research that tells your application's story

We work closely with college counsellors, and many of our fellows come to us through them. Where a student has an application persona in mind, we make sure the problem they choose, the artefact they build and the people who vouch for them all point in the same direction. For families who want it, Two Sigma Lab offers an invitation-only admissions track in which the fellowship sits inside end-to-end counselling for the UK and the US. Ask about it when you apply.

Fellowship Comparison

Swipe sideways to compare all five fellowships

Research CohortCapstone FellowshipAdvanced FellowshipAI Impact FellowshipTwo Sigma Fellowship
Personalized matching of a publishable research project tailored to your strengths and career aspirationsIncludedIncludedIncludedIncludedIncluded
Two Sigma™ AIResearch co-pilot for your project providing 24/7 feedback under supervision of your human mentorIncludedIncludedIncludedIncludedIncluded
Number of 1:1 sessions with faculty46101020
Asynchronous feedback by faculty via platformunlimitedunlimitedunlimitedunlimitedunlimited
Internal peer-review by Two Sigma Scientific PanelIncludedIncludedIncludedIncludedIncluded
Publication target*Depends on scope and cohort compositionNational or Regional Academic JournalPaper in International Peer-reviewed Journal (Scopus indexed, moderate impact factor)Fully deployed AI application solving a pressing community needPaper in International Peer-reviewed Journal (Scopus indexed, high impact factor)
Recommendation Letter**Letter of recommendation from mentorLetter of recommendation from mentorLetter of recommendation from mentorLetter of recommendation from mentorLetter of recommendation from mentor
CertificateTwo Sigma CertificateTwo Sigma CertificateTwo Sigma CertificateTwo Sigma CertificateTwo Sigma Certificate
Duration***3 months3 months6 months6 months10 months
  • *: We cannot guarantee publication, but we will make three submission attempts for your paper.
  • **: Recommendation Letters are provided at the discretion of your mentor.
  • ***: The duration does not include paper and revision time.

/ selection /

We work with the world’s top 10% of students.

Two Sigma Lab accepts high school students aged 14 and above and undergraduates from anywhere in the world. Our fellows come from schools in the UK, the US and Vietnam, and admission runs the same way for every one of them: an application, a committee review and an interview with a core faculty member. We fund 5 scholarship places a year for students whose talent outruns their circumstances.

We look for students who:

  • Ask big questions and want to work on problems nobody has solved
  • Show early ability in research, engineering or building things
  • Take to new technology and unconventional ways of thinking
  • Want their work to matter beyond the classroom
  1. STEP 1

    Application

  2. STEP 2

    Committee review

  3. STEP 3

    Interview

  4. STEP 4

    Decision

/ founder /

It takes outlier talents to shape the next generation of them.

Titus Hoang, MD, PhD

Founder & CEO

Titus Hoang, MD, PhD, is a physician-scientist, educator and entrepreneur. He trained at the Free University of Berlin, Cambridge, Harvard, MIT and Yale, published in Science, PNAS, eLife and The EMBO Journal, interviewed for Cambridge admissions, and spent fifteen years mentoring students and professionals worldwide. He founded Two Sigma Lab, Inc. so that leading researchers and practitioners would take on the students who will one day replace them.

Congratulations to our fellow Mike Nguyen for publishing his research in EngRxiv //
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Start at the frontier.

Applications are accepted on a rolling basis. Places are limited to the students our faculty are willing to vouch for.

Apply now (opens in a new tab)

Make your work impossible to ignore / >

Frequently Asked Questions

Questions we think you might like answers to

What is Two Sigma Lab?

Two Sigma Lab is a research and AI engineering institute for high school students aged 14 and above and for undergraduates. Because of AI, knowledge now moves faster than any curriculum can follow. We close that gap by pairing exceptional students with professor-level faculty and professional mentors to work on unresolved problems in science, technology and engineering, and to finish with a paper, a working technology or a venture that the world can see.

How is Two Sigma Lab different from other online research programs?

Three ways. We start from the world’s open problems, mapped in our Scientific Atlas, rather than from a menu of topics. Every mentor is a working professional: a professor-level researcher or a senior engineer, designer or founder, and none is a student. And we put our name to your work: faculty co-author and supervise it, publish it where it can be checked, and can speak for it afterwards.

Who are the faculty, and what are their qualifications?

Our faculty are professor-level researchers and senior practitioners trained at Harvard, Cambridge, Oxford, MIT, Yale and their peers. They publish in leading journals, build technology used at scale and win international awards. Every one of them is active in their field today.

How selective are admissions?

Admission is highly selective. We only work with the top 10% of students worldwide, and we select on what you can do, not on grades alone. As a benchmark, our typical students have GPAs above 3.5 and SAT scores above 1500.

Do I need prior experience in AI or research to join?

You need curiosity, persistence and the readiness to work on a problem nobody has solved. We teach the rest.

What is the time commitment required for the programs?

Time commitment varies by fellowship pathway. Students typically spend 10 hours of research time weekly. Students meet weekly with faculty over a period of three to ten months, with additional independent research required between sessions.

What are the costs associated with participating in a research program?

Tuition ranges from $4,000 to $10,000, depending on the fellowship pathway. For details on fees and payment options, please contact us at info@twosigmalab.com. We also award merit-based scholarships on a case-by-case basis, with 5 funded places a year for students whose talent outruns their circumstances.

Who owns the research or intellectual property created?

Students are always credited as primary authors on publications and retain ownership of their intellectual property. Faculty may serve as co-authors to validate rigor and standards, but all work is transparently attributed to the student.

How is mentorship delivered?

Mentorship is delivered online through structured sessions with faculty, supported by asynchronous feedback and AI copilots for routine tasks. This model ensures students receive sustained, personalized guidance while developing independent research skills.

What types of research or innovation projects can I undertake?

Fellows pursue projects that reflect their passions and goals, from original scientific research to the design of AI tools with measurable community impact. All projects are held to rigorous academic and professional standards.

Where will my work be published?

All completed projects are published on scientific preprint servers such as arXiv or bioRxiv, ensuring your work is transparent, verifiable, and publicly accessible. Beyond this, our faculty work with motivated students to pursue publication in peer-reviewed international journals. However, final acceptance depends on the quality of the work, the student’s effort, and the standards of each journal. We cannot ethically guarantee journal publication, but we do guarantee that your project will meet professional standards and be accessible to the public.

What universities have students been admitted to?

Our students have secured admission to leading global universities, including Ivy League and Oxbridge institutions. Each project is designed to provide distinction in admissions, complementing strong academic records and test scores.

What support is available if I feel stuck or overwhelmed?

Every student is matched with a dedicated faculty mentor who provides both academic and personal guidance. In addition, our structured curriculum and AI copilots reduce busywork, allowing students to focus on their core ideas.

Can I collaborate with other students?

Yes. While the core of our program is one-on-one mentorship, students are invited to join our broader network of fellows and alumni for discussions, workshops, and collaborations.

Do I receive a credential or certificate upon completion?

Yes. In addition to publications or innovation portfolios, all students who successfully complete a fellowship receive a certificate from Two Sigma Lab, verifying their participation and the rigor of their work.

How do I apply to join Two Sigma Lab?

Applications are reviewed on a rolling basis. Prospective fellows may apply through our application page, where they outline their interests and goals. Selected applicants are invited to an interview before final admission decisions are made.

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For inquiries, please contact us via email.

Email: info@twosigmalab.com