UTM GRC 2019 — UTM Graduate Research Colloquium
Date:
Talk, Mississauga, Ontario, Canada — University of Toronto Mississauga, IB150
The two-day UTM Graduate Research Colloquium 2019 brings together graduate students, post-docs, and faculty to showcase research from across the campus, with short talks, poster sessions, and a keynote.
My 10-minutes talk was about How cats vs dogs classification helps to solve biophysical problems, where I described how clustering and classification problems from machine learning can be nicely used to classify and clusterize protein conformations. Since the presentation was intended for the general academic audience, I put effort into making it as fun as possible using a lot of nice visuals and well-explanatory slides:
The keynote speaker Harvard Prof. Peter Galison gave a deep and super interesting talk about how their research team utilized resources available from the Event Horizon Telescope project as well as a bunch of machine learning techniques in order to obtain that famous black hole pic: