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.
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).