About

My name is Luke Benz and I am a statistician and research advisor at Eli Lilly. I completed my PhD in 2025 at the Harvard T.H. Chan School of Public Health under the supervision of Sebastien Haneuse, and graduated from Yale University in 2019 with a BS in Applied Mathematics.

My research interests include causal inference, complex observational studies, target trial emulation, electronic health records (EHR) data, and missing data. During my PhD, I spent a lot of time thinking about robust causal inference methods for EHR-based studies in light of missing eligibility/inclusion criteria, as well as studies where causal effects vary by calendar time of treatment initiation. My dissertation work was supported in part by a Ruth L. Kirschstein Predoctoral Individual National Research Service Award (F31) from the NIH (NIDDK).

Before coming to Harvard, I was a senior data scientist at Medidata Solutions., where I worked on models to select sites to use in clinical trials, and to forecast enrollment patterns and key milestones in those trials.

In my free time, I enjoy working on projects at the intersection of statistics and sports.