Jai Bhagat
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jkbhagatio [at] gmail [dot] com

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Résumé

Welcome!

 

Hi, I'm Jai, aka jkbhagatio. Welcome to my personal site!  

I'm interested in how stuff works, and how we can can best learn how stuff works. 

I'm currently working in San Francisco on two projects related to Mechanistic Interpretability of AI and biological systems with Stefan Heimersheim at Apollo Research and Jack Lindsey at Anthropic.  

Generally, my research focuses on understanding and creating intelligent systems^ -- systems that make use of complex environments to achieve varied goals. Using animal nervous systems and artificial neural networks as models, I create and test theories that explain intelligent behavior as a function of processes that propagate information within these models^^. To aid this research, I also develop software, hardware and experiment protocols to improve the collection and analysis of relevant data. 

Since completing my Bachelor's Degree in Neuroscience at Boston University, I've held roles as a Technical Associate, Software Developer, Data Scientist, and Research Scientist at Massachusetts Institute of Technology, Sainsbury Wellcome Centre, University College London, and the International Brain Lab. In these roles, I've created and optimized various hardware, software, and machine learning (unsupervised, reinforcement, and deep, including gen ai) tools, and have contributed to many exciting, world-class, collaborative research projects in the fields of Artificial Intelligence, Machine Learning, Systems & Computational Neuroscience, and Neuroengineering. 

As a Ph. D. student in the Sainsbury Wellcome Centre at University College London, I've established Aeon: a hardware and software platform for running novel, continuous, months-long behavioral and neural recordings of rodents in naturalistic environments. With experimental data I've acquired via the Aeon platform, I'm now working on novel analysis and modeling approaches to determine the neural underpinnings of complex social behavior. I hope to complete this work and submit my thesis upon my return to London in April 2025, whereafter I will be looking for full-time industry research positions in AI and BCI / BMI research.


Computational Neuroscience Brain

Active Research Areas

  • Systems and Computational Neuroscience
  • Artificial Intelligence and Machine Learning
    • AI Alignment and Mechanistic Interpretability
    • Autonomous, Generative AI
    • Deep and Deep Reinforcement Learning
  • Software and Hardware Development
  • Signal Processing and Information Theory
Android Robot Brain

Additional Research Interests

  • Human & Brain Computer Interfaces and Neural Augmentation
  • Cybernetics and Robotics
  • Extended Reality (XR: VR, AR, MR)
  • Programming Languages
  • Computer Networking and Web Development
  • Theoretical Physics
  • Metalearning, Logic, Epistemology, and Ontology