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PROFESSORS IN FOUNDATION MODELS

Showing page 1 of 1 — 10 professors available publicly

Percy Liang

Foundation Models Language Models Robustness in NLP

Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, langua...

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Tatsunori Hashimoto

Natural Language Processing (NLP) Large Language Models Foundation Models

Tatsunori Hashimoto is an Assistant Professor of Computer Science at Stanford University and a Faculty Affiliate of the Institute for Human‑Centered Artificial Intelligence (HAI). His research focuses on statistical machine learning and natural language processing, developing m...

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John A. Miller

Semantic Web Processes Time Series Forecasting Foundation Models

Dr. John Miller is a Full Professor in the School of Computing at the University of Georgia, where he has served since 1986. He earned his Ph.D. in Information and Computer Science from the Georgia Institute of Technology and his undergraduate degree in Engineering Science and Ap...

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Sherry Yang

reinforcement learning generative modeling foundation models

I am an Assistant Professor at NYU Courant and a Staff Research Scientist at Google DeepMind. I research in machine learning with a focus on reinforcement learning and generative modeling. Recently, I am interested in problems at the intersection of foundation models and decis...

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Jiantao Jiao

foundation models reinforcement learning with human feedback (RLHF) security guardrails for generative AI

I am an Assistant Professor in the Department of Electrical Engineering and Computer Sciences and Department of Statistics at University of California, Berkeley. I received the Ph.D. degree from Stanford University in 2018. I co-direct the Center for the Theoretical Foundations o...

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Wenqi Wei

Trustworthy Data Management Responsible Data Analysis Representation Learning

I am currently a tenure-track assistant professor at Fordham University. I received my PhD in Computer Science from Georgia Institute of Technology in 2022. I was fortunate to work with Professor Ling Liu in the Distributed Data Intensive Systems Lab (DiSL). After graduation, I s...

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Lu Cheng

Responsible and Reliable AI Causal Machine Learning Foundation Models

I am a tenure-track Assistant Professor in the Department of Computer Science at University of Illinois Chicago (UIC). I lead the Responsible and Reliable AI Lab (R2 Lab). I received my PhD degree in Computer Science at Arizona State University (ASU) in 2022 advised by Dr. Huan L...

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Kianté Brantley

Natural Language Processing (NLP) reinforcement learning imitation learning

I am an Assistant Professor of Computer Science at Kempner Institute and School of Engineering and Applied Sciences (SEAS), Harvard University. My research focuses on problems at the intersection of machine learning and interactive decision-making, with the goal of improving the ...

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Jiaqi Wang

foundation models large language models (LLMs) healthcare informatics

I am an assistant professsor in Department of Computer Science and Software Engineering at Auburn University. I received my Ph.D. degree from The Pennsylvania State University in 2025, where I was advised by Prof. Fenglong Ma. My research interests include machine learning, healt...

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Prashnna Gyawali

self-supervised learning foundation models out-of-distribution detection

I am an Assistant Professor at West Virginia University in the Lane Department of Computer Science and Electrical Engineering. Before my time at WVU, I completed my postdoctoral training at the Stanford University and earned my Ph.D. in Computer Science from RIT. My research f...

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