Omar Shaikh
Hey there! I'm a fourth (!!) year Ph.D. student in Computer Science at
Stanford, co-advised by Michael Bernstein and Diyi Yang. Previously, I was an undergrad in the College of Computing at
Georgia Tech (go Jackets!), advised by Diyi Yang and Polo Chau.
Georgia Tech (go Jackets!), advised by Diyi Yang and Polo Chau.
I'm interested in human-AI grounding—namely, how should we define, measure, and build computational representations of shared context between humans and artificial intelligence. I work on NLP methods to measure and model the construction of common ground between humans and computers. I also build HCI systems that help people build common ground with eachother.
Also: if you're an undergrad at Stanford interested in research (especially if you identify with a historically marginalized group), please reach out! I'm more than happy to chat about opportunities here!
Featured Research Publications
Updates!
March 2026
Just-In-Time Objectives was accepted to CHI 2026 as a best paper honorable mention.
January 2026
Gave a talk at Thinking Machines Lab on Creating General User Models from Computer Use.
August 2025
Creating General User Models from Computer Use was accepted to UIST 2025 as a best paper honorable mention.
June 2025
Spending the summer with the wonderful folks at Hasso Platner Institute in Potsdam, Germany!
February 2025
Navigating Rifts in Human-LLM Grounding was accepted to ACL 2025 as an oral presentation (top 5% of papers).