2025 Research Award Recipients
| Award Recipient | Research Project |
|---|---|
| Aaron Wei BSc, Computer Science Danica Sutherland (Supervisor) | Fundamental Limits on Measuring Conditional Dependence |
| Bi Xiang (Jack) Wu BSc, Statistics Trevor Campbell (Supervisor) | Flexible, Efficient Approximations for High-Dimensional Distributed Bayesian Inference |
| Geo Lee BSc, Computer Science Frank Wood (Supervisor) | Embodied AI |
| Gunbir Singh Babeja BSc, Computer Science Mark Schmidt (Supervisor) | Mitigating Loss of Plasticity in Continual Learning Systems |
| Kaiwen Liu BSc, Electrical and Computer Engineering Renjie Liao (Supervisor) | Resource-Constrained Test-Time Steering of Large Language Models with RLHF through Product of Expert (PoE) |
| Maziyar Dowlatabadibazaz BSc, Computer Science Kevin Leyton-Brown (Supervisor) | Using LLMs to Optimize TA Resource Allocation in Educational Peer Review Systems |
| Mercury Mcindoe BSc, Computer Science Leonid Sigal (Supervisor) | Human-Like Attention in Vision-Language Models |
| Raul Vazquez Guerrero BSc, Electrical and Computer Engineering Andre Ivanov (Supervisor) | Machine Learning Models to Reduce Electronic Systems Reliability Tests |
| Yash Mali BSc, Computer Science Raymond Ng (Supervisor) | Natural Language Interface for Medical Guidelines |
| Zimeng (Mabel) Wang BSc, Electrical and Computer Engineering Christos Thrampoulidis (Supervisor) | Next-Token Prediction in Large Language Models |
2024 Research Award Recipients
| Award Recipient | Research Project |
|---|---|
| Alyssa Zhang BSc, Computer Science Mark Schmidt (Supervisor) | Data Science for Medium-Rare Multi-Cause Diseases |
| Hala Murad BSc, Computer Science Kevin Leyton-Brown (Supervisor) | Deep Learning in Behavioral Game Theory |
| Malcolm Zhao BSc, Computer Science Mark Schmidt (Supervisor) | Newton-Like Methods For Modern Machine Learning Problems |
| Yujia Ma BSc, Statistics Trevor Campbell (Supervisor) | Advancing Distributed Bayesian Inference with Pigeons |