As a training network, student researchers are at the heart of the program. All of the students listed below are members of the network and recipients of AML-TN awards. These awards recognize and support student engagement across our research and training initiatives, through three streams: Funded Trainee, Mobility Award, and Undergraduate Research. More information about these opportunities can be found on our Opportunities page.
Funded Trainees
Funded Trainee Awards
Year 2 (2024 – 2025)
| Award Recipient | Research Topics |
|---|---|
| Gregory d'Eon Ph.D., Computer Science Kevin Leyton-Brown (Supervisor) | |
| Hamed Shirzad Ph.D., Computer Science Danica Sutherland (Supervisor) | Sparse Transformers for Learning on Graphs |
| Jiayun Luo Ph.D., Computer Science Leonid Sigal (Supervisor) | Vision Language Model on Visual Grounding/Segmentation Tasks |
| Ruinan Jin Ph.D., Electrical and Computer Engineering Xiaoxiao Li (Supervisor) | Efficient and Trustworthy Medical Machine Learning |
| Seungyeon Baek MSc., Computer Science Kwang Moo Yi (Supervisor) | |
| Tiange (Ivy) Liu MSc., Statistics Trevor Campbell (Supervisor) | MCMC Algorithms with Autonomous Kernels |
| Wonho (Won) Bae Ph.D., Computer Science Danica Sutherland (Supervisor) | Learning with Limited Data Including Active Learning |
Year 1 (2023 – 2024)
| Award Recipient | Research Topics |
|---|---|
| Amrutha Ramesh Ph.D., Computer Science Mark Schmidt (Supervisor) | Optimization, Machine learning, Large language Models |
| Harshinee Sriram Ph.D., Computer Science Cristina Conati (Supervisor) | Personalized Explainable AI, Explainable AI (XAI), Human-Computer Interaction (HCI) |
| Jinsoo (Jason) Yoo Ph.D., Computer Science Frank Wood (Supervisor) | Continual Learning, Probabilistic Machine Learning, Memory, Neuroscience |
| Nathaniel Xu Ph.D., Computer Science Danica Sutherland (Supervisor) | Approximate Inference, Generative Modelling, Kernel Methods, Machine Learning Theory |
| Shivam Chandhok M.Sc., Computer Science Leonid Sigal (Supervisor) | Computer Vision (Machine Learning, Multimodal Learning, Scene Understanding, 3D Vision) |
| Tina Behnia Ph.D., Electrical and Computer Engineering Christos Thrampoulidis (Supervisor) | Optimization in Machine Learning, Deep Learning Theory |
Mobility Awards
Mobility Awards
Year 2 (2024 – 2025)
| Award Recipient | Research Topics |
|---|---|
| Armin Boroujeni Ph.D., Electrical and Computer Engineering Purang Abolmaesumi, Michiel van de Panne (Co-Supervisors) | Active Feature Acquisition for Medical Imaging (with a focus on Deep Reinforcement Learning) |
| Cedar Turek MSc., Electrical and Computer Engineering Guy Lemieux, Frank Wood (Co-Supervisors) | Forward Mode Predictive Coding for Analog Acceleration |
| Ke Zhang Ph.D., Computer Science Frank Wood (Supervisor) | Reinforcement Learning for Autonomous Driving |
| Lyuyang (Anne) Wang MSc., Electrical and Computer Engineering Purang Abolmaesumi (Supervisor) | High-Precision Echo Assessment and Risk Triage of Heart Failure using Artificial Intelligence |
| Matthew Niedoba PhD., Computer Science Frank Wood (Supervisor) | Generative Modelling, Diffusion Models, Trajectory Modelling |
| Raymond Liu MSc., Computer Science Kevin Leyton-Brown (Supervisor) | Economic Models of Human Behaviour in Decision-Making Systems |
| Rohit Murali PhD., Computer Science David Poole (Supervisor) | Data-Driven Adaptive Support in Open-Ended Learning Environments |
| Vala Vakilian MSc., Electrical and Computer Engineering Christos Thrampoulidis (Supervisor) | Neural Collapse and Geometry of Deep Learning Models, Structure of Language and its Impact on LLM Training |
| Vasileios Lioutas Ph.D., Computer Science Frank Wood (Supervisor) | Generative Modeling for Realistic Autonomous Driving Simulations |
| Yang-Che (Jeff) Tseng MSc., Computer Science Kwang Moo Yi (Supervisor) | Expanding 2D Diffusion Prior for 4D Rendering |
| Yixin (Allen) Cheng Ph.D., Computer Science Leonid Sigal (Supervisor) | Computer Vision and Trustworthy ML |
| Yize Zhao MSc., Electrical and Computer Engineering Christos Thrampoulidis (Supervisor) | Interpretability and Embeddings Behavior of (Language) Models |
| Zheng He MSc., Computer Science Danica Sutherland (Supervisor) | Independence Testing and Invariant Representation Learning for Out-of-Distribution Problems |
Year 1 (2023 – 2024)
| Award Recipient | Research Topics |
|---|---|
| Chun-Yin Huang Ph.D., Electrical and Computer Engineering Xiaoxiao Li (Supervisor) | Trustworthy AI, Federated Learning, Data Assessment, Medical Image Analysis |
| Frederik Kunstner Ph.D., Computer Science Mark Schmidt (Supervisor) | Optimization methods for Machine learning (Probabilistic Models, Deep Learning), Adaptive and Parameter-Free Methods, Impact of Data and Model Choices on Optimization Performance. |
| Yi (Joshua) Ren M.Sc., Computer Science Danica Sutherland (Supervisor) | Machine Learning, Cognitive Science |
| Yingchen (Charlie) He M.Sc., Computer Science Frank Wood, Mijung Park (Co-Supervisors) | Privacy Preserved Machine Learning, Diffusion Models, and General ML Topics |
| Yunpeng (Larry) Liu Ph.D., Computer Science Frank Wood (Supervisor) | Generative Modeling, Reinforcement Learning, Self-Supervised Learning |
| Zhouting (Fred) Xie M.Sc., Computer Science Kwang Moo Yi (Supervisor) | Machine Learning, Statistics, and their application in Astronomy and Health Science Research. |
Undergraduates
Undergraduate Research Awards
Year 2 (2024 – 2025)
| 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 |
Year 1 (2023 – 2024)
| 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 |