Semih Cantürk
PhD Student, Mila & UdeM DIRO • ML Engineer, Zetane Systems

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).
news
Nov 26, 2024 | Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs has been accepted to LoG 2024 as a Spotlight! See you next week online in poster session 1 (Nov 27, 14:00 EST) or our talk on the 29th (14:30 EST)! |
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Nov 18, 2024 | Two new pre-prints are up! Check out the selected publications below for ‘Towards Graph Foundation Models: A Study on the Generalization of PSEs’, a follow-up paper on GPSE, and ‘OpenQDC’, a large collection of open-source quantum molecular datasets, collated and developed by Valence Labs. |
May 1, 2024 | GPSE has been accepted to ICML 2024! I will be attending the conference in Vienna between July 21-27, so feel free to reach out if you want to meet up. |
Jan 24, 2024 | I have been awarded the Université de Montréal PhD Scholarship in Artificial Intelligence (Bourse en Intelligence Artificielle 2023-2024 des ESP)! |