PhD Student Courant Institute New York University
I'm a PhD student in computer science at New York University's Courant Institute of Mathematical Sciences advised by Prof. He He. I work on Machine Learning and Natural Language Processing, and I am affiliated with the ML2 research group.
I am broadly interested in robust language understanding --- making sure that LLMs don't optimize functions not intended by designers (e.g. spurious correlations in finetuning, reward hacking). I am also interested in empirically understanding how LLMs learn certain phenomena from the data as we scale up models (e.g. truthfulness). My research is graciously supported by a NSF Graduate Research Fellowship and NYU Dean's Dissertation Fellowship.
I have spent summers interning at Google Gemini/Bard and Amazon AWS AI during my PhD. Previously, I completed my undergraduate degree in Computer Science at IIT Bombay where I did research with Preethi Jyothi and Mohit Bansal (at UNC Chapel Hill).
Email: nitish@nyu.edu / joshinh@gmail.com
Links: [CV] [Twitter] [Github] [Google Scholar]