My research has spanned many areas such as resource allocation in networking, smart grids, social information networks, machine learning. Broadly, my interest lies in gaining a fundamental understanding of a given system and the design of robust algorithms.
More recently my research focus has been in privacy in machine learning. I'm interested in understanding how robust machine learning methods are to perturbation, and privacy and fairness constraints, with the goal of designing practical algorithms that achieve privacy and fairness.
Before joining the University of Alberta, I spent many years in industry research labs. Most recently, I was a Research team lead at Borealis AI (a research institute at Royal Bank of Canada), where my team worked on privacy-preserving methods for machine learning models and other applied problems for RBC. Prior to that, I spent many years in research labs in Europe working on a variety of interesting and impactful problems. I was a researcher at Bell Labs, Nokia, in France from January 2015 to March 2018, where I led a new team focussed on Maths and Algorithms for Machine Learning in Networks and Systems, in the Maths and Algorithms group of Bell Labs. I also spent a few years at the Technicolor Paris Research Lab working on social network analysis, smart grids, and privacy in recommendations.