About Nick

Research Interests

I develop novel methods for the collection and analysis of complex longitudinal data for precision health. Currently, I am 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. I am particularly focused on creating tools which place my methods directly in the hands of domain scientists, and lower the barrier to entry for SMARTs.

I 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, I was also able to develop guidance on how to use automated systems to collect and manage research-grade data for MRTs.

I have 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, 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..

Research Statement

My Commitment to Diversity, Equity, and Inclusion

I am firmly committed to efforts to increase the diversity of Statistics as a field. We as statisticians benefit from and value the wonderful intellectual diversity in our field, but we must do more to improve the representation of minoritized racial and gender identities among our ranks. I strive to foster a more welcoming, inclusive culture in Statistics which supports and centers the contributions of Black and Latinx statisticians.

I believe statisticians have a unique ethical responsibility in the movement for racial justice, both in the United States and beyond. The increasing ubiquity of so-called artificial intelligence has the potential to entirely change the world, and yet we too often see it being used to reinforce and reify existing social structure. I have committed myself to a process of continual learning about the way these structures are created, strengthened, and maintained in order to understand my role in the perpetuation of racial injustice, and work to correct it.

In 2020, I completed the Rackham Professional Development Diversity, Equity, and Inclusion Certificate at the University of Michigan, and co-founded a graduate student working group on DEI in our Statistics department. I have also been asked to join the Statistics faculty DEI Committee as a student representative. I look forward to contributing to this vital work.

DEI Statement