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R42 Institute: We Invent, Invest and Inform
R42 Institute AI Fellows Program
Demo Day
R42 Institute is running an AI Fellowship Program. A launchpad for deep technology and science disruptors, the Fellowship is designed to develop AI/machine learning, deep science, design thinking and entrepreneurial skills of emerging talent.
The Fellowship has been designed to provide each Fellow with one-on-one mentoring, an opportunity to hone their tech and science skills and combine it with design thinking tools over an accelerated period.
This is an online program, with virtual interaction.
Over 11 weeks, the Fellows have been working closely with the R42 Team, mentors and portfolio companies on exciting deep tech and science projects.
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AI Fellows Received:
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. R42 Institute AI Course (both live and recorded classes) - Fellows can get accelerated content to work on their projects
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One-on-one mentoring with R42 team, typically accomplished scientists and professionals with decades of experience
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All R42 lectures
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R42 Institute Certificate
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A unique opportunity to build a wide network of inventors, entrepreneurs and investors
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Rolling start dates for some projects. Main Cohort 7 starts June 3 2024, with a demo day on August 16th, 2024.
R42 Institute, part of the R42 group, educates about AI, longevity, biotechnology. Its mission is to further define the university of the future which will be ever more important in the post-COVID world. This is another opportunity to seek ways to create the future and not just react to it.
2024 Projects
1. Stock Market Prediction (with Dr. Jeremy Sosabowski & Dr. Frank Sortino)
Dr. Jeremy Sasobowski
Executive Director
AlgoDynamix
Dr. Frank Sortino
Director Pension
Research Institute
Adi Lankipalle
Ektor Avlonitis
Iheb Hajji
Brian Lee
Lyle Morris
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Predicting the stock market has been the holy grail for financiers. There have been many mathematical models.
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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.
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We will be working with signals from Algodynamix.com. Pre-requisites: knowledge or willingness to learn, a statistical programming language. And/or user interface programming.
2. Soopra.ai - Creating a Personality Engine (with Praveena Dhanalakota)
Praveena Dhanalakota
CEO, Soopra.ai
Amardeep Singh
Dave Onnen
Soumil Gad
Srinivas Jaini
CTO, Soopra.ai
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Some of the technology areas we are focusing on are:
Enable an avatar to interject into meetings with salient thoughts and points.
Pre-requisites: Programming experience (minimum 1-2 years)
3. Superbio.ai: No-Code AI Platform using ChatGPT for Life Sciences (with Berke Buyukkucak)
Berke Buyukkucak
CEO & Co-founder
@ Superbio.a
Akshay Harlalka
Nolan You
Vishesh Goyal
Summary: While generative AI has gained popularity in tech, its usefulness in biology remains largely unexplored. Join our project to train a generative AI model, such as BioGPT or ChatGPT, to efficiently and creatively extract information from biomedical data. In addition, you will have the opportunity to work with talented engineers in a fast-paced startup and contribute to making generative AI more accessible in scientific research through user-friendly interfaces.Post-fellowship job opportunities are available. Pre-reqs: ML and deep learning experience preferably in life sciences.
4. Quantum computing applications (with Dr. Adrian Cable)
William Colglazier
Chandra Govindarajan
Arthur Van Meerbeeck
Varun Karlekar
Adrian Cable
multiple ‘deep tech’ VC-funded start-ups
& exits as CEO/CTO/founder
Summary: Quantum computing is a new computing paradigm, but what is it and can it do it anything useful now or in the future. This project will involve researching the space, the tools, and running simulation tools.
5. Vaccine for aging (with Dr. Ronjon Nag and Dr. Yasaman KalantarMotamedi)
Yasaman KalantarMotamedi
Co-founder & CTO
of AGEMICA
Ronjon Nag
Co-founder & CEO
of AGEMICA
Sasha H. Igdari
Vadim Yuzhakov
Ava Chan
Summary: A project to find the minimum genetic signature coverimg as many age related diseases a s possible and using computational techniques to find therapeutics that could affect the signature.
6. AI for Female Aging (with Linda Oleson)
Linda Oleson
Med-Tech Entrepreneur Stanford Medical School Mentor R42
Yamini Kangude
Alana Yee
Abhishek Koneru
Summary: Can we use generative AI to create a female aging advisor - providing advice to females as they age.
This will involve fine tuning or prompt engineering to create a chat app.
7. AI Ethics (Ossian Broman, and Laura Schwab Reese)
Laura Schwab Reese
Associate Professor
Purdue University
Ossian Broman
Analytics & AI with UBS
University of St Andrews
Uma Sarkar
Eddie Carrillo
Sophia Cummings
Wallie Butler
Ashu Mishra
Summary: Can we create a framework for AI ethics.
8. Creating an AI patent generator (with Kristin Smith & Dr. Ronjon Nag)
Kristin Smith
Patent attorney for 20+years
Jordan Leung
Kristine Pashin
Cole Sturino
Alexandra Veronese
Summary: Usually its very difficult to create and draw up the claims to generate a patent,.
This project will investigate the use of LLMs to create the first draft of a patent using prompt engineering and/or fine tuning ensuring that intellectual property doesn't get added to the core database run by the company hosting the LLM
9. R42 XPRIZE Healthspan Prize Submission (with Dr. Ronjon Nag)
Dr. Ronjon Nag
is an inventor and entrepreneur, and Adjunct Professor in Genetics at Stanford Medicine. He hasbeen working in AI for 40 years.
Otto Farag
Kim Parnell
Cate Pittman
Kateryna
Kostyuchenko
Paul Harris
Fernando Aires
Summary: Assist R42 create XPRIZE submission for its portfolio company offerings.
10. X10e - Non-invasive bio-sensing technology for the human body ( With Dr. Veronese and Dr. Ronjon Nag)
Silvia Veronese, PhD
Founder and CEO X10e
Amit Goldman
Yann Sakref, PhD
Shaun Ranade
Mark
MelnyKowycz, PhD
Julian Pena
Cristina Dalle Ore
PhD
Anupama
Mahabhashyam
Summary:
Numerous vital signs illustrate that every square centimeter of the human body contains measurable data. We endeavored to gather every observable parameter to delineate the boundaries of your "health data self" and correlate data using LLM for a healthier and longer life.
Prerequisite: Some level of Programming (Python, LLM preferred) and/or medical, biotech, bioengineering, math biology experience
Demo Day Videos
R42 Institute Demo Day Cohort -7 2024
Demo Day Cohort -7 2024
Intro
Demo Day Cohort -7 2024
XPRIZE
Demo Day Cohort -7 2024
Agemica
Demo Day Cohort -7 2024
Quantum Computing