I am an Assistant Member (Assistant Professor in Oncology) in the Department of Biostatistics and Bioinformatics at Roswell Park Comprehensive Cancer Center in Buffalo, NY. I earned my PhD in Epidemiology and Biostatistics from the School of Population and Public Health at the University of British Columbia. Prior to joining Roswell Park, I was a statistician in the IMPaCT Lab at SickKids in Toronto and completed a postdoctoral research fellowship in the Clinical Epidemiology program at the Ottawa Hospital Research Institute.

My research centers on developing innovative statistical methods to enhance the design, analysis, and implementation of clinical trials and public health interventions, particularly in real-world settings. A significant focus is on pragmatic clinical trials, including the design and analysis of cluster randomized trials and Bayesian adaptive designs. I also develop robust and computationally efficient methods for analyzing complex data structures—such as longitudinal and clustered data—addressing challenges like small sample sizes and intricate correlation structures to ensure reliable and interpretable statistical inference.

In parallel, I work on Bayesian adaptive trial designs, creating flexible, data-driven frameworks for decision-making, with a particular emphasis on early-phase and dose-finding studies. This involves developing model-based approaches that ethically incorporate prior knowledge and interim data.

Beyond clinical trials, I contribute to the evaluation of public health and policy interventions using observational data. My work in this area focuses on quasi-experimental designs, including interrupted time series and multiple baseline studies, to support strong causal inference when randomized trials are not feasible.

Driven by real-world problems, my research aims to produce methods that are both theoretically rigorous and practically impactful—achieved through close collaboration with experts in medicine, epidemiology, and public health.