I am a third-year Ph.D. student in the Department of Statistics at the University of Michigan, working with Daniel Almirall, Ph.D. I am a member of the Statistical Reinforcement Learning Lab at the University of Michigan.
Previously, I worked with Susan A. Murphy, Ph.D. on design and analysis methods for micro-randomized trials in the setting of mobile health interventions, and Kelley M. Kidwell, Ph.D. in the Department of Biostatistics at Michigan. Work with Dr. Kidwell involved sample size calculation for sequential, multiple-assignment, randomized trials with binary outcomes, and collaboration on several projects with clinicians in the University of Michigan Cancer Center. My cancer-related work was done as a trainee on an NIH-funded training grant for cancer biostatistics1 NIH 5T32CA083654-12 (P.I. Jeremy M.G. Taylor, Ph.D.).
As an undergraduate at the University of Notre Dame, I worked with Seth N. Brown, Ph.D. on kinetics of reduction-oxidation reactions involving molybdenum complexes. I wrote my undergraduate thesis on Shannon entropy and its applications in combinatorics under the direction of David Galvin, Ph.D.
Key interests: Sequential decision making, dynamic treatment regimes, just-in-time adaptive interventions, sequential multiple assignment randomized trials, micro-randomized trials, clinical trials, experimental design, biostatistics
Broadly, my interests lie in sequential decision-making, particularly in the context of health and medicine. Specifically, I am interested in methods in clinical trial design which allow for the construction of effective dynamic treatment regimes which are useful in making clinical decisions.
Currently, my focus is on design and analysis methods for micro-randomized trials in the setting of mobile health. At the moment, the majority of my work involves data management and analysis for HeartSteps, a micro-randomized trial seeking to investigate the effects of providing contextually-aware suggestions on physical activity levels in sedentary adults.
My previous work largely focused on sample size calculation for sequential, multiple-assignment, randomized trials (SMARTs) with a binary outcome. To this end, I created an online sample size calculator for use by clinicians, a beta version of which is available here.
- Doctor of Philosophy (in progress) Statistics, University of Michigan
- Master of Arts Statistics, University of Michigan, 2018
- Master of Science Biostatistics, University of Michigan, 2015
- Bachelor of Science Mathematics with Life Sciences, University of Notre Dame, 2013, cum laude