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Arthur Chatton conducts research at the intersection of causal inference and predictive modeling, with a particular focus on using ensemble machine learning approaches. His projects have included the development of dynamic personalized prediction algorithms in dialysis and algorithms for verifying the causal assumption of positivity. He is interested in survival analyses, mediation, transportability, and interdisciplinary knowledge transfer. Currently, he holds two funding grants for doctoral students, one focused on causality and the other on prediction. Arthur invites those interested to reach out for collaboration.
School of Public Health • Montreal, Canada
Teaching and conducting research in epidemiology and biostatistics.
Most programs require French B2 level; specific departments may require C1 or C2.