Hi, my name is Kimia! I am a first year PhD student at the University of Toronto, working in the Department of Computer Science working under the supervision of Dr. Babak Taati. I am also a Faculty Affiliate Researcher at the Vector Institute, and a Research Appointee at the UHN. My research area is in AI for Healthcare and in Computer Vision.

In my Master’s I studied at the University of Waterloo. I am incredibly fortunate to have had the guidance and support of Dr. Karen Yeats as my advisor, whose expertise and insights have been invaluable to my growth and progress. My thesis is available here. During my Master’s, I have also had the wonderful opportunity to work with Dr. Paul-Hermann Balduf, on the applications of maching learning for Feynman period estimation, our work is now published in the Journal of High Energy Physics.

I completed my Bachelor of Mathematics at the University of Waterloo as well, in Combinatorics & Optimization and Computing, which I graduated with Dean’s honour. During my undergraduate degree, I had the opportunity of completing an undergraduate research term with Professor Oliver Pechenik where we used reinforcement learning to further validate a conjecture on the Sperner property of finite Coxeter groups.

About Me

I grew up in Waterloo, Ontario (making my net displacement currently zero). In my spare time, I enjoy playing the piano, taking hikes with my dog and playing Tetris. Another cool fact about me is that I can type about 140 wpm.