Tim Copeland

I am a postdoctoral researcher with a PhD in Health Policy & Management from UCLA (2021) and training in health outcomes research. My research applies advanced epidemiologic and causal inference methods to understand treatment effectiveness and disparities in neurological diseases.

My research in the Fink/McKay group focuses on multiple sclerosis epidemiology, with particular emphasis on sex disparities in treatment patterns and clinical outcomes among female patients. I have methodological interests in causal inference for time-varying treatments.

I develop open-source Stata packages for data management and presentation of epidemiologic results, available at https://github.com/tpcopeland/Stata-Tools