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CSC2515 Grad Project
Bowen is a 2nd year MSc student in the Computer Science department. He is interested in Deep Learning, Bayesian Machine Learning, and Monte Carlo Methods. He is a foodie and loves travelling.
Dami is a fourth year EngSci ECE student interested in machine learning, specifically reinforcement learning.
Eleni is a 2nd year PhD student in the ML group. Recently her research has focused on the problem of few-shot learning: How can we learn new classes (e.g. image categories or words) without having a large training set for these classes, but instead only given a few instances of each. She also loves music and dancing.
Farzaneh is a PhD student at Department of Computer Science at the University of Toronto. Her research interest is real-world video understanding using deep learning. She also holds a research position at Twenty Billion Neurons Inc.
Jackson is a 2nd year PhD student in CS. He works with neural networks. His current focus is on generative models, both in terms of advancing the theory and applying them in tasks such as semi-supervised learning and Bayesian posterior learning.
Jake is a 5th year PhD student in the machine learning group. His current research interests lie in few-shot learning, generative models, and unsupervised representation learning. He enjoys long distance running and Korean culture (language and cooking).
Mingjie is a Master student in Computation biology group. He used to work with large-scale, high dimensional biological datasets. He is now working toward modelling and prediction of complex temporal health care data, and focusing on models like RNN and RL.
Tingwu Wang is a PhD student in Machine Learning Group. His research interests include reinforcement learning (major), robotics (something I would like to understand in the future), graph neural networks (package imported once in one project) and transfer learning (agents trained by me always have troubles with this).
Kingsley is studying for a PhD in Computer Science with Professor Anna Goldenberg. I am interested in Machine Learning and its application in genomics and healthcare. I am now working on interpretability and reinforcement learning applied to biology or healthcare.
Jixuan is a 2nd year PhD student working with Professor Michael Brudno. He is interested in machine learning and its application in computational medicine. Now he is working on methods and interfaces for data capture from clinical encounters.
Joe is a Ph.D. student working with Dr. Fritz Roth, interested in machine learning and causality as well as how to apply them to explain the human phenotypical difference using large human genome sequences and experimental datasets.
Mohammad is an M.Sc. student studying Computer Science at the University of Toronto. He did his B.Sc. in Computer Engineering, and Mathematics at Sharif University of Technology. His research interests mostly lie in the area of Deep Machine Learning, and Graphical Models.