Neel Jain

Neel Jain is a 5th year Computer Science PhD canditate at University of Maryland, College Park, working on Safe and Trustworthy Machine Learning, particularly Large Language Models (LLMs), in Professor Tom Goldstein’s Lab and holds multiple publications at top-conferences such as ICLR, Neurips, and COLM with over 1.5k citations. Neel earned his Masters in Computer Science from University of Maryland, College Park in 2023. He is actively seeking industry and/or post-doc positions this academic year.

The widespread adoption of LLMs in everyday life highlights the pressing need to ensure these systems are both safe and trustworthy. Thus, Neel’s research focuses on Safe and Trustworthy Machine Learning, where he explore deeply interconnected challenges spanning refusal behavior, safety, evaluations, and reasoning. Through his reserach which has been published at leading ML conferences, Neel’s strives to advance machine learning systems that reliably align with human intentions and contribute positively to society.

Prior to UMD, Neel graduated from Williams College in 2019 with Honors in Mathematics. At Williams, he wrote his thesis on graph theory under Professor Pamela Harris, which led to a publication in Graphs and Combinatorics. After Williams, Neel worked as a Data Scientist for Booz Allen Hamilton, where he worked on projects of various topics including math modeling and machine learning.

In my spare time, he enjoys hiking in national parks, playing sports such as tennis, soccer, and squash, and board games like chess and catan.