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We’re building more than MVPs. We’re building a network of people who want to make real things and keep going after the hackathon.

Agentic AI x Longevity Hackathon

AI agents, working to extend human life.

September 2025 | San Francisco & Online

REGISTER

We want to bring together curious people — biologists, AI experts, coders, scientists — and build working MVPs that apply AI agents to real challenges in longevity research.

GOAL

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So why isn’t it helping us tackle aging?

Aging is biology’s biggest unsolved problem — not a philosophical one, but a technical one. It’s rich in data, full of interactions, and desperately in need of better tools.
Now enter AI agents — intelligent systems that can plan tasks, run tools, extract knowledge, and make decisions. What if we used these agents to attack the complexity of longevity science?

AI can write code, fly planes, and summarize legal documents

What We'll Be Working On

Whether your passion lies in decoding the biology of aging or building tools ready for deployment, our tracks are designed to offer both a playground for deep science and a launchpad for market-ready innovation.

Fundamental
This track is dedicated to ambitious scientific challenges that push the boundaries of what we know about aging and human biology. We’re interested in AI systems that can generate new insights, connect fragmented knowledge, and enable cross-disciplinary discoveries — from molecular biology to population-level health.
Areas of interest include:

Unifying and structuring aging knowledge — AI-powered platforms that can integrate data from different biological levels (molecules, cells, tissues, organs, populations) into a coherent, searchable framework for hypothesis generation and discovery.
Age-aware precision medicine — tools that factor in the biological effects of aging to predict treatment outcomes and tailor interventions for different age groups.
Go-to-market
This track focuses on creating applied tools and platforms with clear pathways to deployment in biopharma, healthcare, and longevity industries. We’re looking at how AI can accelerate business development, streamline R&D, and enable faster, more informed decision-making.
Areas of interest include:
Intelligent market and asset scouting — AI systems that can map portfolio gaps, identify complementary assets, and suggest potential deal structures.
Unified intelligence from human trials — tools that can aggregate, deduplicate, and enrich trial data from multiple sources, making it easy to see the full picture of what has been tested and what worked.
AI-assisted preclinical trial planning — systems that can propose cost-effective, jurisdiction-specific trial plans, connect developers with CROs, and provide clear time and budget estimates for the next meaningful steps.

Who Should Join

If it fits our criteria, we’ll work with you to shape it and bring it to life at the hackathon.

SHARE YOUR IDEA

Have a Challenge Worth Solving?

Format & Timeline

Where: San Francisco + 🌍 Online from anywhere
When: September 2025
Format: Hybrid, global, hands-on

Prizes

Third place

1000$

Second place

2000$

Total prize pool:

6000$

First place

3000$

for every team that presents a working MVP or structured concept

100$

NEED INSPIRATION?

What if aging wasn’t inevitable? Explore the bold ideas behind Immortality or Death — a deep dive into real science, false promises, and the human drive to overcome time itself.

/ Finals

Demo prep
5-min team pitches
Community voting, jury feedback
Closing celebration & networking

/ Working days

Full day of building
Mentorship, tech check-ins, optional workshops
MVPs taking shape

/ Opening Day

Opening & welcome session
Introduction to AI agents and longevity
Challenge briefings
Team formation

PURCHASE BOOK

REGISTER

Meet Our faces

Challenge Owners

Alexander Dekan

Team Lead ML Engineer at the largest marketing company in Russia

PhD student in AI for Computational Aging, worked on the creation of the first thought dataset at OpenAI, and founded the startup Ingle ELLs for In Silico drug discovery.
Pyotr Lidskiy

Professor at the City University of Hong Kong
Jacqueline Larouche

Jacqueline has over a decade research experience in the fields of regeneration and rejuvenation. She received a joint PhD in Biomedical Engineering and Scientific Computing in the Aguilar Lab studying skeletal muscle degeneration with advanced age and injury. Currently, Jacqueline is leading the wet lab efforts of the Applied AI team at retro.bio, developing and executing various high throughput screening platforms for engineered epigenetic reprogramming factors and protein variants to improve longevity.
Andrei Tarkhov

Andrei has been actively involved in aging research since 2013, starting at Gero.ai with Peter Fedichev (co-authored patents leading to a $250M deal with Chugai Pharmaceuticals) and continuing at Harvard Medical School with Vadim Gladyshev. Andrei has been focusing on understanding the fundamental mechanisms of aging through computational biology, ai, statistical physics and chaos theory. His dream is to understand why we age and leverage it to significantly impact human health and longevity. Currently at retro.bio, Andrei is leading dry-lab/aging efforts, and helps building applied ai to facilitate the development of novel life-extending and anti-aging therapies.
Rico Meinl

Rico leads the Applied AI team at Retro Biosciences, focusing on engineering proteins for enhanced cellular reprogramming and rejuvenation. With a background in computer science and machine learning, Rico co-led the development of GPT-4b, a specialized GPT model created by OpenAI and Retro to re-engineer proteins for precise cell-state control. This model has already demonstrated double-digit-fold efficiency improvements in reprogramming assays. Previously, Rico was the first employee at Talus Biosciences, where he built computational pipelines essential for discovering drug candidates targeting gene regulatory proteins. Rico is dedicated to leveraging AI to address the fundamental causes of aging and disease.

Our Jury

Petr Fedichev

Founder of Gero, longevity biotech pioneer
Jan Gruber

Aging researcher, Professor at Yale-NUS
Aaron Hsu

Partner @ Actual VC
Derya Unutmaz

Professor at The Jackson Laboratory
David Barzilai

Harvard Medical School Lecturer and Founder and CEO Barzilai Longevity Consulting

Hackatone Partners

If you are interested in becoming a partner or sponsor, please do not hesitate to contact us.

Submit a real research problem
Sponsor a team or track
Support infrastructure or prizes
Scout for talent and future collaborations

Companies, labs, and startups are welcome to:

Have a challenge? Join as a partner

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AI models: OpenAI GPT-4o, Claude, Gemini, Mistral
Biomedical data: GEO, Ensembl, Open Targets, ChEMBL, Reactome
Analysis/NLP: BioPython, spaCy, BioBERT, NetworkX
Interfaces & APIs: Streamlit, Gradio, FastAPI, PubMed API
Hosting & infra: Google Colab, GitHub, Notion

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Projects will be judged on:

💡 Idea: relevance and novelty
🔧 Execution: MVP quality, technical structure
🧬 Scientific grounding: biological realism
🚀 Potential impact: who benefits and how soon

We recommend

Tools You Can Use

We’re tool-agnostic. Bring your stack, use what works.