Summary
Jaydeep Borkar is a PhD candidate in Computer Science at Northeastern University focused on privacy, memorization, and robustness in large language models, advised by Prof. David A. Smith. With eight years of research and teaching experience, he has taught core AI and NLP courses and contributed to projects probing model memorization and adversarial vulnerabilities. He co-founded the Trustworthy ML Initiative, collaborating with researchers from Harvard, Google Brain, Meta, and other institutions to advance responsible ML practices. Jaydeep has research stints at MIT-IBM Watson AI Lab and Meta Superintelligence Labs, and was selected for CIFAR’s competitive DL+RL summer school, signaling strong recognition in the community. Based in Cambridge, MA, he combines hands-on empirical work with community-building to push for safer, more private language models. Outside formal bios, his GitHub hints at a playful style (“hehe.”) while reflecting active involvement in research engineering.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Savitribai Phule Pune University
Pace Junior Science College
English, Marathi, Hindi, Gujarati