Teaching

• UBC EECE 571F: Deep Learning with Structures (2022 Winter Term 1)
• UBC EECE 571F: Deep Learning with Structures (2021 Winter Term 2)
• Yale S&DS 567: Topics in Deep Learning: Methods and Biomedical Applications, Guest Lecture (2020 Winter)
• UofT CSC 321: Introduction to Neural Networks, TA (2017 Winter)
• UofT ECE 521: Inference Algorithms and Machine Learning, TA (2017 Winter)
• UofT CSC 411/2515: Introduction to Machine Learning, TA (2016 Fall)
• UofT CSC 321: Introduction to Neural Networks, TA (2016 Winter)
  
  The assignment I designed with Michael Guerzhoy is accepted by The 8th Symposium On Educational Advances In Artificial Intelligence, Model AI Assignments, AAAI, 2018.
• UofT CSC 411/2515: Introduction to Machine Learning, TA (2015 Fall)