R42 Institute
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R42 Institute AI Fellows Program (June 1 - August 13)

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.


There is no fee for the program. The Fellowship is highly competitive and spaces are limited.


AI Fellows will receive:


  • R42 Institute AI Course (both live and recorded classes) - Fellows can get accelerated content to work on their projects

  • One-on-one mentoring with R42 team

  • All R42 lectures

  • R42 Institute Certificate

  • A unique opportunity to build a wide network of inventors, entrepreneurs and investors



  • Start Date: June 1 

  • Demo Day: August 13: spaces available until filled


Application Process:


  1. Apply: Our application is simple. Tell us which project you are interested in, or propose a new one for R42, and a bit more background on yourself.

  2. Interview: After receiving your application, we will schedule a 20-minute online video interview with a member of the R42 team to learn more about your background and interests.

  3. Get Notified: After the interview, you will receive an admissions decision quickly - within 1-2 days. 


About R42 Institute:


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.


Current Project Offerings: 


Each Fellow will undertake a project. Below are the projects R42 is offering. More projects may be listed later. Please, contact us directly if you have any ideas for projects for R42 and its portfolio companies.


1. 3D Videoconferencing holodeck platform (with Dr. Adrian Cable)

  • Recently there have become available new 3D visualization tools for holographic representations

  • This project will involve constructing a toolkit with off-the-shelf hardware

  • The objective will be to create a 3D video conferencing solution so people can look at tech across the table in 3D

  • REQUIREMENTS: C or C++ programming skills.

2. High speed image recognition for a throwable camera (Francisco Aguilar)

  • Create face and object recognition using neural network YOLO and SSD algorithms

  • Pre-requisites: a Python programming background.

3. Stock Market Prediction (with Dr. Jeremy Sosabowski)

  • 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. Pre-requisites: knowledge or willingness to learn, a statistical programming language. And/or user interface programming.

4. Making AI Easier to Explain: Creation of AI examples for Use in Teaching (with Dr. Ronjon Nag)

  • This project will involve creating sample code in python on the google colab platform. The projects will take a problem, and have code that can upload a dataset, and allow users to change parameters in various kinds of neural networks, using the Keras platform.

  • Pre-requisites: Python.

5. Mimio Recreating the Personality of a real person that can engage and think like humans. (with Praveena Dhanalakota)

MIMIO’s mission is to augment human connection by bringing individuals and their personalities to the center of our experiences with technology.

  • Some of the technology areas we are focusing on are:

    • Voice emulation

    • Knowledge graph for predicting possible conversations

    • 3d modeling

    • Psychology prediction 

    • NLP

  • Student Goals:

    • Experiment on voice emulation and speech emotion analysis

    • Experiment on the knowledge graph

    • Recreate possible responses based on past conversation data available. 

    • Build conversation engine using existing technologies

    • Author; blog post for experiments

  • Pre-requisites: Minimum 1-year experience in coding (preferably in Python)

6. SuperBio: Creating a No-code Computational Biology Platform  (with Berke Buyukkucak)

  • Summary: Predicting protein folding is the holy grail of biology and there has been great strides made in this field, thanks to machine learning. Fellows that participate in this project will decipher, understand and try to improve the AlphaFold code that was implemented and then made public by DeepMind, Google's AI company. 

  • Motivation: Protein folding prediction knowledge and skill can be translated into machine learning driven drug discovery research, which is a growing and forceful field that shows the potential to revolutionize both pharmaceutical and medical research. 

  • Challenges: Difficult concept to understand and implement, terminology based knowledge.

  • Impact: Learn about a unique field that's developing, get students educated and knowledgeable. Pre-requisites: user interface programming, machine learning.

6. Mathematics of VC (with Jaime McGurk)

  • Creating and simulating valuations of venture backed companies,

  • Pre-requisites: Excel and data analytics.