The UTM Graduate Research Colloquium

The UTM Graduate Research Colloquium aims to highlight graduate student research across our campus. This special two-day event provided the opportunity for graduate students to showcase their work to fellow graduate students, post-docs, and faculty from all graduate departments.

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: