Semih Cantürk

I’m a second year PhD student at Mila – Quebec AI Institute and Université de Montréal DIRO, in Guy Wolf’s group. My interests cover theory and applications of machine learning with a focus on graph representation learning and spectral graph theory. In addition, I am interested in explainable AI (XAI), domain adaptation, out-of-distribution generalization & reinforcement learning. More recently, I have been working on applying GRL on molecular data, solving optimization problems via GRL, improving the scalability of graph neural networks, and self-supervised learning on graphs.

I’m also an ML Engineer at Zetane Systems, where I focus on XAI and lead ML projects with clients and industry partners.

I completed my MSc also at Mila & UdeM, and previously obtained my BEng from the University of Pennsylvania (Penn). I’ve previously interned at the Imperial College Data Science Institute (distributed computing), SAS Analytics (data science) and InfoTRON (AR/VR).