About Nick


Curriculum Vitae

Experience & Education

 
 
 
 
 
University of Pennsylvania Perelman School of Medicine
Assistant Professor of Biostatistics
September 2023 – Present Philadelphia, PA
 
 
 
 
 
Johns Hopkins Bloomberg School of Public Health
Postdoctoral Fellow
July 2021 – July 2023 Baltimore, MD
Mentored by Elizabeth A. Stuart, PhD and Beth McGinty, PhD, I developed tools to help practitioners design better health policy evaluation studies and better understand the causal inference tools used to do so.
 
 
 
 
 
University of Michigan
PhD, Statistics
September 2015 – May 2021 Ann Arbor, MI
Supervised by Daniel Almirall, PhD, my dissertation was titled “Design and Analytic Considerations for Sequential, Multiple-Assignment Randomized Trials with Continuous Longitudinal Outcomes.” I also received an MA in statistics in 2018.
 
 
 
 
 
University of Michigan
MA, Statistics
September 2015 – April 2018 Ann Arbor, MI
 
 
 
 
 
University of Michigan
MS, Biostatistics
September 2013 – April 2015
I worked with Kelley Kidwell, PhD on design and analysis methods for SMARTs with binary outcomes and on collaborative projects as part of the Cancer Biostatistics Training Program supported by the National Cancer Institute.
 
 
 
 
 
University of Notre Dame
BS, Mathematics with Life Science
University of Notre Dame
August 2009 – May 2013 Notre Dame, IN
I studied pure mathematics with a concentration in life sciences. My undergraduate thesis was

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 tremendous 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, Indigenous, and Latino/a 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.