After obtaining her PhD in Operations Research at KU Leuven, Belgium, Tu-San Pham worked as a postdoctoral fellow in the same university before joining Polytechnique Montréal in November 2020 under the supervision of Prof. Louis-Martin Rousseau. During her PhD, Tu-San studied hybrid methods that combine techniques from both Artificial Intelligent and Operations Research. At Polytechnique Montreal, as a member of HANALOG (the Canadian research chair on analytics and logistics of healthcare), she applies her knowledge in hybrid methods to optimize the design and delivery of healthcare. She has been working on multiple projects to improve the quality of care at several departments of CHUM (Centre hospitalier de l’Université de Montréal) and MUHC (McGill University Health Centre). Her latest project involves applying Reinforcement Learning in dynamic multi-appointment patient scheduling under uncertainty. Her current research interest focuses on incorporating stochastic factors in decision-making under uncertainty and their applications in appointment scheduling.