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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.

Tuesday, July 28, 2026 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Bioinformatics • Machine learning reveals genome-wide DNA sequence patterns associated with thermal adaptation in extremophile microbes

Please note: This PhD seminar will take place online.

Monireh Safari, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lila Kari

Tuesday, July 28, 2026 2:30 pm - 3:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Computational Finance • Data Scarcity and the Decumulation Problem: Two Challenges in Finance

Please note: This master’s thesis presentation will take place in DC 2310.

Yuk Hei Boris Leung, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yuying Li, Peter Forsyth

Friday, July 31, 2026 11:00 am - 12:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Human–Computer Interaction • Technology-mediated Group Idea Generation and Evaluation for Artistic Creations Across Disciplines

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Anthony Maocheia-Ricci, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Tuesday, August 4, 2026 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • Semantics-Behavior Coupled Bayesian Optimization for Efficient Black-Box Prompt Search

Please note: This master’s thesis presentation will take place in DC 2314 and online.

Ruotian Wu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart