Title: Using Individual-Level Data in Difference-in-Differences for Health Policy Evaluation
Bio: Nick develops novel methods for the collection and analysis of complex longitudinal data for precision health. Currently, he is interested in the design of sequential, multiple-assignment randomized trials (SMARTs) with longitudinal outcomes, which allow interventionists to more fully understand patient trajectories in response to tailored, sequential treatment delivery. He is focused on creating tools which place my methods directly in the hands of domain scientists, and lower the barrier to entry for SMARTs.
He was the primary data analyst on HeartSteps, the first ever micro-randomized trial (MRT), and co-developed a Shiny app for computing sample size for MRTs, under the direction of Susan A. Murphy, Ph.D.. Through this work, he was also able to develop guidance on how to use automated systems to collect and manage research-grade data for MRTs.
He also has a strong record of cross-disciplinary collaboration, serving as a trainee on an NIH-funded training grant for cancer biostatistics (NIH 5T32CA083654-12, P.I. Jeremy M.G. Taylor, Ph.D.) under the supervision of Kelley M. Kidwell, Ph.D. As an undergraduate at the University of Notre Dame, he worked with Seth N. Brown, Ph.D. on kinetics of reduction-oxidation reactions involving molybdenum complexes and wrote his undergraduate thesis on Shannon entropy and its applications in combinatorics under the direction of David Galvin, Ph.D..