Please note: This seminar will take place in DC 1304.
Ibrahim Numanagić
Canada Research Chair in Data Science and Computational Biology
Assistant Professor, Department of Computer Science
University of Victoria
The scale of biological data has increased exponentially over the last two decades. As Moore’s Law continues to slow, scientists can no longer rely on hardware to catch up with the ever-increasing size of biological data and need both scalable algorithms and effective programming environments to implement and test them.
Please note: This PhD seminar will take place in DC 3317 and online.
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lap Chi Lau
Please note: This PhD seminar will take place in DC 1304.
Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Contrastive learning is a commonly used technique to train an effective neural retrieval model; however, it requires much computation resources (i.e., multiple GPUs or TPUs).
