Hello there!
I am Afaf Taïk, an assistant professor in the Faculty of Engineering at Université de Sherbrooke. I am also an Associate Academic Member at Mila – Quebec AI Institute.
Previously, I was a Claire DesChênes Postdoctoral Fellow at Mila, working on the intersection of fairness and privacy in machine learning with Dr. Golnoosh Farnadi.
I obtained a PhD in Electrical Engineering in June 2022 from Université de Sherbrooke, where I worked under the supervision of Pr. Soumaya Cherkaoui on problems related to distributed machine learning algorithms in wireless networks.
Before that, I earned a DESS from Université de Sherbrooke (2018) and a software engineering degree from ENSIAS (2018).
My research interests are deeply tied to responsible AI, with an emphasis on fairness, privacy, and accountability. I am particularly interested in exploring the limits of current auditing and evaluation practices in machine learning. I am also interested in how technical choices interact with social and institutional contexts, and how notions of fairness change across settings. I strongly value collaboration and am always happy to discuss potential projects with researchers, students, and practitioners who share these interests.
To contact me, send an email to afaf dot taik at usherbrooke dot ca.