Office Hours

Staff information

These are the usual staff members who will be at each session, along with their areas of expertise (which may be useful for finding project advice).
Abbreviations: ML = machine learning, LM = language modeling, RL = reinforcement learning, CV = computer vision.

Day Time Room Staff
Mon 2:45 PM - 5:00 PM Gates 348 Chris Manning
Most areas of NLP. Less good on GANs and RL.
Mon 6 PM - 8:50 PM STLC-105, Sapp Center for Science Teaching and Learning Ansh Khurana
Robustness to Distribution Shifts, CV, Healtcare 		Heidi Zhang
Large language models, Vision & Language 		Eric Frankel
Representation Learning, Dialogue Systems, Multitask 		David Huang
Healthcare, NLP
Tue 9 AM - 11:50 AM Thronton 210, Thornton Center Isabel Papadimitriou
Interpretability, Multilinguality, Language Models and Cognition 		Shai Limonchik
NLP, CV, ML 		Hans Hanley
Misinformation, Online Networks 		Rishi Desai
ML, CV, Privacy 		Yuan Gao
Diffusion/Score Based Model for Texts, CV 		Cathy Yang
NLP, CV
Wed 1:30 PM - 4:20 PM 120-414, McClatchy Hall, Main Quad Siyan Li
Dialogue systems, Narrative Generation, Language Generation, Speech 		Sauren Khosla
Healthcare, Finance 		Drew Kaul
ML, CV 		Manasi Sharma
CV, ML 		Jesse Mu
Language + RL, Language + Vision
Thu 6 PM - 8:50 PM 260-012, Pigott Hall, Main Quad Lisa Li
NLP, Text Generation, Syntax, Parsing, Adaptation 		Tathagat Verma
Natural Language Generation, Graph Neural Networks, ML for Biomedical Imaging 		Irena Gao
Robustness, ML 		Swastika Dutta
Misinformation, Language Modelling, Security 		John Hewitt
Interpretability, Representation Learning, Language Modeling, Generation, Multilinguality
Fri 1:30 PM - 4:20 PM 110-101, Bldg.110, Main Quad Elaine Sui
ML for Healthcare 		Anuj Nagpal
Natural Language Generation, Knowledge Graphs 		Hong Liu
ML 		Christopher Cross
ML for Climate Change, Multimodal Learning, Interpretability
Sat 9 AM - 11:50 AM THORNT210, Thronton Center Abhinav Garg
Healthcare, Speech Processing, Feedback Generation 		Gabriel Poesia
Program Generation, Formal Mathematics, Education 		Candice Penelton
Transfer Learning, Speech Processing, Sentiment Analysis