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# Alexandre Drouin

Associate Industry Member
alexandre.drouin@mila.quebec
Medical Machine Learning (ML)
Reasoning
Causality
Deep Learning
Learning on Graphs
Generative Models
Associate Industry Member
Adjunct Professor, Université Laval, ServiceNow

Alexandre Drouin is a Research Scientist at ServiceNow Research in Montreal and an Adjunct Professor of computer science at Laval University. He leads ServiceNow’s Human Decision Support research program, which explores the use of machine learning for decision-making in complex dynamic environments. His main research interest is causal decision-making under uncertainty, where the goal is to answer questions of causal nature (interventions, counterfactual), while accounting for sources of uncertainty, such as ambiguity in causal structures and unmeasured variables. He is also interested in probabilistic time series forecasting and its use to foresee the long-term effect of actions.

He holds a Ph.D. in computer science from Laval University for his work on machine learning algorithms for biomarker discovery in large genomic datasets and their application to the global problem of antibiotic resistance.