[wa-ill kitooney] (Davis pronounces it best) 🔊
I am a Ph.D. student at MIT and a Junior Investigator at the Institute for AI and Fundamental Interactions. During my Ph.D., I worked a lot in research at the interface between machine learning and physics including AI robustness, fairness, and interpretability with applications to high energy physics. I am also interested in understanding the science of deep learning and AI foundations. Recently, I’ve been very excited about AI reasoning, multi-modal foundation models, safe and scalable deep learning. During my time at Microsoft Research, I worked on knowledge base generative models as part of a knowledge-augmented LLM approach to improving interpretablilty and limit hallucination in critical environments.
Interdisciplinary Ph.D. in Physics and Statistics, 2019 - Present
Massachusetts Institute of Technology
BSc in Physics and Mathematics, 2019
University of Rochester