Stanford CS 224N | Office Hours

Office Hours

Attending OHs: Every weekday, TA office hours are offered both remotely through Zoom and in-person at the same time. Instructors' office hours are offered in-person only.
Time and location: are listed in the calendar at the bottom of this page. The Zoom link for remote office hours is on Ed (see pinned "Office Hours Guidelines" post).
Access: The exterior doors of the buildings lock at 5:30pm, so for evening office hours please remember to bring your Stanford ID so that you can access the respective rooms.
Staff information: Each staff member's schedule and areas of expertise are listed in the staff information section below.

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, LLM = large language models, RL = reinforcement learning, CV = computer vision.

Day	Time	Room	Staff
Mon	4:30 PM - 5:30 PM	Gates 342	Diyi Yang
Mon	6:00 PM - 8:50 PM	Thornton 110, Thornton Center	Prateek Varshney Agentic AI, Reasoning, Evaluation	Advit Deepak Unlearning, Agentic AI, AI for Science	Aryaman Arora LLM Interpretability, Computational Linguistics
Tue	9:00 AM - 11:50 AM	UIT Tech Training, Polya Hall Room 111	Emily Bunnapradist	Sabri Eyuboglu ML Systems, Architectures, Efficiency, Eval	Josh Singh LLM, QA, Conversational Assistants, GNNs
Wed	1:30 PM - 4:20 PM	200-205, Lane History Corner, Main Quad	Jason Ding LLM / Trustworthy ML	Carrie Gu AI for Science	Anjiang Wei LLM Eval, LLM for Code, Agent, ML System
Thu	6:00 PM - 8:50 PM	Huang Basement	Omar Shaikh Human-centered NLP, Dialogue and Interactive Systems	Jing Huang Interpretability	Yicheng Fu LLM, Agent	Myra Cheng Social NLP, Ethics, Bias
Fri	1:00 PM - 2:00 PM	Gates 354	Tatsunori Hashimoto
Fri	1:30 PM - 4:20 PM	200-205 Lane History Corner, Main Quad	Mingjian Jiang LLM, Uncertainty, Agent, Trustworthy ML	Andrew Lee LLM, AI Reasoning	Johnny Chang LLM, RAG
Sat	1:30 PM - 4:20 PM	Room 111, Y2E2	Fang Wu LLM, AI for Science	Lora Xie LLM Interpretability, LLM Agents, AI Safety	Bassem Akoush ML Systems, LLM, AI for Science	Zhengxuan Wu Interpretability

CS224n: Natural Language Processing with Deep Learning

Stanford / Winter 2025

Office Hours

Staff information