Shashwat Goel

Shashwat Goel is a first-year ELLIS PhD student at the ELLIS Institute and Max Planck Institute for Intelligent Systems in Tübingen, Germany, co-advised by Jonas Geiping and Douwe Kiela. He completed a dual degree (B.Tech + M.S.) in Computer Science and Engineering from IIIT Hyderabad (2019–2024) under Prof. Ponnurangam Kumaraguru. His research focuses on evaluation and benchmarking of language models, machine unlearning, and building training environments to improve LLM decision-making. He was a SERI MATS scholar, during which he contributed to the WMDP Benchmark (Weapons of Mass Destruction Proxy), a dataset measuring hazardous knowledge in LLMs and evaluating unlearning methods, published at ICML 2024 and featured in TIME Magazine. He also contributed to the Representation Engineering (RepE) paper on AI transparency, and co-authored work on corrective machine unlearning and evaluating whether unlearning methods truly remove information from model weights. His work on fairness in sequential decision-making won an Outstanding Paper Award at AAAI 2024.

No endorsements yet.

Personal Website

https://shash42.github.io/

LinkedIn

LinkedIn

Twitter / X

Twitter

LessWrong

-

EA Forum

-