Luke is a third-year PhD Candidate in Statistics at the University of Waterloo (UW) in the Department of Statistics and Actuarial Science. He anticipates completing his PhD in August 2024 and is actively looking for postdoctoral positions. Luke completed his Masters of Mathematics in Statistics (2021) and Bachelor of Mathematics in Mathematical Optimization & Statistics (2020) at UW. He is currently supervised by Dr. Nathaniel Stevens.

Luke works as a TA Workshop Facilitator at UW's Centre for Teaching Excellence and a Sessional Lecturer with the Department of Statistics and Actuarial Science. He has also worked as a graduate student consultant at the Statistical Consulting and Collaborative Research Unit at UW. Luke is a member of the Statistical Society of Canada (SSC). He currently chairs the SSC's Student and Research Graduate Committee (SARGC), and he co-chaired the SSC's 2023 Canadian Statistics Student Conference (CSSC).

Luke's current research interests include experimental design, efficient sampling techniques, hypothesis testing, Bayesian methods, and computational inference. His thesis explores scalable methods for study design facilitated via targeted exploration of the unit hypercube, with an emphasis on hypothesis testing and interval hypotheses. These methods can reduce the runtime of simulation-based design methods by several orders of magnitude without relying on large-scale computing resources. He hopes to extend these methods to more complex designs in his postdoctoral work.