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.

Research Mission

My research centers on developing innovative statistical methods to enhance the design and analysis of clinical trials and public health interventions. I am passionate about bridging the gap between statistical theory and real-world medical application, ensuring that my work is both rigorous and practically impactful. I achieve this through close collaboration with experts in medicine, epidemiology, and public health.

Core Research Areas

• Pragmatic Clinical Trial Design A significant portion of my work centers on improving the design and analysis of pragmatic clinical trials. I develop novel approaches for cluster randomized trials, which are vital for evaluating interventions as they are actually delivered. In parallel, I focus on Bayesian adaptive designs, creating flexible methodologies that allow trials to learn from accumulating data. This is particularly critical in early-phase and dose-finding studies, where efficiency and ethical considerations are paramount.

• Analysis of Complex Health Data Much of my work involves creating models for longitudinal and multilevel data, tackling common challenges like small sample sizes and complex correlation patterns to ensure that the inferences drawn are both reliable and meaningful.

• Causal Inference with Observational Data Beyond clinical trials, I contribute to the evaluation of public health and policy interventions. I specialize in quasi-experimental designs, such as interrupted time series and multiple baseline studies, which provide a framework for rigorous causal inference when randomization is not an option.

Across all these areas, my research is driven by a commitment to collaborative science. By working closely with clinicians, epidemiologists, and public health practitioners, I ensure my methodological work is grounded in and responsive to the substantive challenges they face.