Postdoctoral Fellow at Salk Institute for Biological Studies
Amherst, Massachusetts, United States
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Summary
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Senior
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Arjun Karuvally is a postdoctoral fellow and computational neuroscientist with 11 years of experience blending machine learning, theoretical neuroscience, and systems-level thinking to model memory in both artificial and biological networks. His PhD work at UMass Amherst produced the General Sequential Episodic Memory Model (GSEMM), an energy-based framework that encodes temporal memory and supports variable information storage, and he is developing an episodic-memory view of RNN dynamics to make networks more interpretable. Arjun pairs rigorous information-theoretic and physics-inspired approaches with practical engineering—having contributed backend security and replace-functionality improvements (with tests) to the popular mitmproxy project—so his work spans from principled theory to robust open-source code. He has published and built tooling for reinforced variational inference and structured prediction, and his cross-disciplinary lens draws on cognitive science, neuroscience, mathematics, and computer science. Based in Amherst and now at the Salk Institute, he seeks collaborations that push toward more intelligent, human-understandable AI.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, 8.1, Bachelor of Technology (BTech), Computer Science, 8.1 at National Institute of Technology Tiruchirappalli
Higher Secondary School, 95/100, Higher Secondary School, 95/100 at Maharishi International Residential School
10th Standard, 91/100, 10th Standard, 91/100 at Hari Sri Vidya Nidhi, Thrissur
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Role in this project:
Back-end Developer & Security Engineer
Contributions:11 commits, 3 PRs, 8 comments in 14 days
Contributions summary:Arjun focused on implementing and refining the `replace` functionality within the `mitmproxy` project, an interactive TLS-capable proxy. Their commits added the `count` argument for replacements, fixed missing replacement options, and addressed minor bugs in the header replacement process. The user also added tests for the replace methods across request, message, and header components and refactored code to align with coding standards.
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Arjun Karuvally - Postdoctoral Fellow at Salk Institute for Biological Studies