Annie En-Shiun Lee

I am an assistant professor (teaching stream) for the Computer Science Department at the University of Toronto responsible for enhancing the academic excellence of the MSc in Applied Computing (MScAC) Program. With its 10-year history, the MSc in Applied Computing (MScAC), selected by Forbes in 2021 as one of the ten best in the world, is a unique applied research Masters degree. My role in the program includees creating new program concentrations, overseeing admissions process, coordinating concentration leads, evaluating research project, academic and research advising and teaching, and reviewing final research report. To kick of 2022, Forbes has named Toronto as the most important AI hub (#8 in the 10 AI Predictions for 2022).

I received my PhD from the University of Waterloo in 2014 under the supervision of Andrew K. C. Wong and Daniel Stashuk from the Centre of Pattern Intelligence and Machine Intelligence. I have been a visiting researcher at the Fields Institute (invited by Nancy Reid) and CUHK (invited by K. S. Leung and M. H. Wong) as well as a research scientist at VerticalScope and Stradigi AI.

My research focuses on finding patterns in society and in nature. More specifically, I am interested in exploring data for discovering patterns and their structures in order to uncover the underlying knowledge. Generally I focus on unsupervised pattern-based techniques where supervised training is not possible. Currently I am working on the following problems: 1) Domain adaptation of low resource languages applications (knowledge of NLP, DL, and distributed cloud computing needed); 2) Interpretability for medical text; 3) Training and education high-quality technical specialists through engagement in self-directed and problem-based learning in an inclusive and supportive environment.

Apply to work with Me
LinkedIn
CV (11/2020)
Teaching Dossier (08/2020)
Google Scholar
Chair for the Mentoring Panel at BPDM SIGKDD Halifax 2017
Aspect-Based Sentiment Analysis at the Fields Insitute 2017


TODO: headshot, links