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Wednesday, February 14, 2024 10:30 am - 11:30 am EST (GMT -05:00)

Seminar • Bioinformatics • Applied Biological Sequence Analysis with a Theoretical Flavour

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

Jim Shaw, PhD candidate
Department of Mathematics, University of Toronto

DNA is life’s instruction manual, but mathematically, DNA is simply a string over an alphabet of four letters. DNA can now easily be read into a computer, and the associated string-processing algorithms are being leveraged by biologists for exciting discoveries. However, this has created a flood of data in the petabytes, requiring modern and faster tools.

Monday, February 12, 2024 1:00 pm - 2:00 pm EST (GMT -05:00)

PhD Seminar • Bioinformatics • Anti-Cancer Peptides Identification and Activity Type Classification with Protein Sequence Pre-training

Please note: This PhD seminar will take place online.

Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Friday, February 9, 2024 4:00 pm - 5:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Artificial Intelligence • Traffic Rule Checking and Validation

Please note: This master’s thesis presentation will take place online.

Connor Stewart, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

Thursday, March 14, 2024 5:30 pm - 8:30 pm EDT (GMT -04:00)

PhD Defence • Artificial Intelligence | Affective Computing • Emotions and Context in Decision-making for a Socially Intelligent Agent

Please note: This PhD defence will take place online.

Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey

Wednesday, February 7, 2024 10:30 am - 11:30 am EST (GMT -05:00)

Seminar • Artificial Intelligence • Learning Generative Models from a Control Perspective for Scientific Discovery

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

Dinghuai Zhang, PhD candidate
Mila

Advancements in scientific discovery have always been at the forefront of human endeavor, particularly in complex domains such as molecule synthesis. The intrinsic challenges in these fields stem from two main factors: the vast and combinatorially complex high-dimensional search spaces, and the costly evaluation of scientific hypotheses. Therefore, leveraging machine learning offers a promising avenue to expedite the scientific discovery process.

photo of Professor Edith Law
Thursday, February 1, 2024

Global Futures: Using technology to help humans flourish

Edith Law is a Professor at the Cheriton School of Computer Science, where she co-directs the Human-Computer Interaction Lab. Her research delves into social computing technology, machine intelligence interactions, and the design and user experience of technology that upholds important human values.

Professor Law explains how we can harness the power of new technologies ethically for the betterment of humanity.

Opinion by Professor Law

Wednesday, February 7, 2024 12:30 pm - 1:30 pm EST (GMT -05:00)

PhD Seminar • Information Retrieval | Natural Language Processing | Deep Learning • Heterogenous Benchmarking across Domains and Languages: The Key to Enable Meaningful Progress in IR Research

Please note: This PhD seminar will take place online.

Nandan Thakur, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin