R42 Institute AI Fellows Program
2025 Projects
2025 Cohort 8
Stock Market Prediction (with Dr. Jeremy Sosabowski & Dr. Frank Sortino)


Dr. Jeremy Sasobowski
Executive Director,
AlgoDynamix
Dr. Frank Sortino
Director, Pension
Research Institute




Sanjeev Saha
Alan Li
Tyler Newman
Sriram Chakka
Predicting the stock market has been the holy grail for financiers. There have been many mathematical models. Most often, however, these models rely on their own past data. We will be taking signals from a model that does not use past data and attempt to get a model that takes an ensemble of predictive signals to find the best model for the trading system. We will be working with signals from Algodynamix.com.
R42 Longevity Ecosystem Team


Anastasiya Giarletta
Sabeen Aymen Bokhari

Andres Santana

Ricarina Rabinovitz

R42 has established itself as a leading venture fund at the intersection of artificial intelligence and longevity science. Over the past several years, R42 has built a diverse portfolio of companies developing transformative longevity technologies. To further advance this mission and create measurable impact, R42 is launching the Longevity Ecosystem Project — an initiative designed to connect, integrate, and amplify the value of its portfolio companies, research collaborations, and thought leadership in the field of human longevity.
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R42 Longevity Portal
Dr. Ronjon Nag
Shrey Singh
Rishabh Ranjan
Sophia Veronese




R42 will build the R42 Longevity AI Portal, a digital ecosystem powered by an advanced AI agent. The portal will act as a personalized guide to longevity science and practice, integrating R42’s portfolio innovations, educational resources, and community features. Users — whether investors, researchers, clinicians, or health-conscious individuals — will engage with an intelligent agent that understands their profile, goals, and context to deliver tailored recommendations, insights, and connections.
Author 42: Book Writing AI Co-pilot
Dr. Ronjon Nag
Jayne Lytel
Jessica N. Butler
Anna Funaro Mortara
David Moscato
The Author 42 Project aims to help writers harness AI as a true copilot — not a replacement for creativity, but a partner that amplifies it. This initiative will create an accessible pathway for authors to understand, adopt, and benefit from AI in producing high-quality, original books.





Studio 42: Book to Movie AI Agent
Linda Olsen
Claire Lu
Sanjana Khajuria
Manisha Madhwani
Ashu Mridu
The Director 42 Book-to-Movie Copilot extends R42’s vision by enabling authors not only to write books with AI support but also to explore how their stories can be adapted for screen.





Gamer 42: Book to Game AI Agent

Jon Li

Ryan Mahandru

Ryan Newman

Meenu Krishnakumar
Gamer 42 will allow anyone to build a game out of their favorite book. The interactive experience will make the book characters alive as well as memorable
No-code LLM Fine Tuning

Dr. Guy Nicolson

Tuesay Singh

Jennifer Yu

Marco Rayner

Tehreem Ansari

Raina Talwar Bhatia
Normally AI system are fine-tuned with RAG or prompt systems. TIn no code systems the weights are not really re-trained. This project will allow a non-porgrammer to retrain the weights of an LLM