Rachel C. W. Chan

I was a graduate student in Prof. Michael Hoffman's lab in the Department of Computer Science at the University of Toronto from 2018-2020. I completed my M.Sc. in March 2020.

Contact

twitter; github; google scholar
rachelchan [at] cs [dot] toronto [dot] edu

Publications

• Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman; Segway 2.0: Gaussian mixture models and minibatch training, Bioinformatics, Volume 34, Issue 4, 15 February 2018, Pages 669–671.


• Eric G. Roberts, Mickaël Mendez, Coby Viner, Mehran Karimzadeh, Rachel C. W. Chan, Rachel Ancar, Davide Chicco, Jay R. Hesselberth, Anshul Kundaje, Michael M. Hoffman; Semi-automated genome annotation using epigenomic data and Segway, bioRxiv, 2016, 080382.

As an engineering student, I developed the STROBE used in the following papers with Han Zhang, Pierre-Yves Musso, and Prof. Michael Gordon at UBC:

• Alexandria H. Jaeger, Molly Stanley, Zachary F. Weiss, Pierre-Yves Musso, Rachel C. W. Chan, Han Zhang, Damian Feldman-Kiss, Michael Gordon; A complex peripheral code for salt taste in Drosophila, eLife, Volume 7, 11 October 2018, Page e37167.


• Pierre-Yves Musso, Pierre Junca, Meghan Jelen, Damian Feldman-Kiss, Han Zhang, Rachel C. W. Chan, Michael D. Gordon. The STROBE: a system for closed-looped optogenetic control of freely feeding flies. eLife, 19 July 2019, Volume 8.

Graduate Courses

• CSC2541: AI and Ethics: Mathematical Foundations and Algorithms (University of Toronto, St. George Campus, Fall 2019)
• CSC2547: Topics in Statistical Learning Theory (University of Toronto, St. George Campus, Winter 2019)
• CSC2506: Probabilistic Learning and Reasoning (University of Toronto, St. George Campus, Winter 2019)
• CSC2515: Machine Learning and Data Mining (University of Toronto, St. George Campus, Fall 2018)

Teaching Assistantships

• CSC108: Introduction to Computer Programming (University of Toronto, St. George Campus, Fall 2018)