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Tuesday, July 21, 2026 9:00 am - 12:00 pm EDT (GMT -04:00)

PhD Defence • Artificial Intelligence | Machine Learning • Towards Foundation Models for Text-Rich Multimodal Tabular Data

Please note: This PhD defence will take place in DC 2314 and online.

William Loh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Wednesday, July 22, 2026 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence | Machine Learning • Learning to Understand and Generate Multimodal Contents Within a Unified Model

Please note: This PhD seminar will take place online.

Weiming Ren, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Wenhu Chen

Wednesday, July 22, 2026 3:00 pm - 6:00 pm EDT (GMT -04:00)

PhD Defence • Artificial Intelligence | Machine Learning • Physics-Constrained Learning for Scientific Discovery: Inference in Differential Equations and Inverse Design via Generative Models

Please note: This PhD defence will take place in M3 3001and online.

Lena Podina, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mohammad Kohandel, Ali Ghodsi

Friday, July 24, 2026 11:00 am - 12:00 pm EDT (GMT -04:00)

Seminar • Symbolic Computation • A Complete Validated Algorithm for the Initial Value Problem of Ordinary Differential Equations

Please note: This seminar will take place in DC 1302 and online.

Chee Yap, Professor
Department of Computer Science, Courant Institute of Mathematical Sciences
New York University

Friday, July 24, 2026 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Symbolic Computation • Sobolev Regularized Polynomial Features for Robust Handwritten Symbol Recognition

Please note: This PhD seminar will take place online.

Deepak Singh Kalhan, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Stephen Watt, Robert Corless

Monday, July 27, 2026 10:00 am - 12:00 pm EDT (GMT -04:00)

Seminar • Human–Computer Interaction | Artificial Intelligence • Scaling Foundation Models & Agentic AI that Supports Healthy Living

Please note: This seminar will take place in DC 1304 and online.

Daniel McDuff
Senior Staff Research Scientist and Manager, Google
Affiliate Professor, University of Washington

A event poster with a black, red,pink stripes. The text says OPEN HOUSE with the event date, location and time. In the middle is an old-school computer
Tuesday, July 28, 2026 11:00 am - 4:00 pm EDT (GMT -04:00)

Computer Museum Spring Open House

This term's theme is Re-Creations: Clones and Copies. From sequels to remakes, there's much to be had about adaptations. With each adaptation and recreation, there are opportunities to learn more about computers, both old and new. Play with retro computers, encounter interactive exhibits, and discover all sorts of artifacts!

All visitors are welcome! Attendance is free, and there are no sign-ups. Just drop by.