I am a tenure-track Assistant Professor in the Department of Mathematical Sciences at the University of Delaware. I also have visiting positions at the Santa Fe Institute and the Department of Mathematics at the London School of Economics. My CV has more details on my education and experience.
Education
In college, I studied G-quadruplexes in Sua Myong’s structural biology lab. After reading Complexity: A Guided Tour, I was inspired to develop my skills as a theorist, so that I could better explore ideas about complex systems across scientific domains. Thanks to the Marshall Scholarship and Márton Balázs, I found a home for my interests in probability theory. I became fascinated by KPZ universality, and went to Berkeley after seeing Alan Hammond’s four-part study of Brownian last passage percolation.
- PhD, Statistics, University of California, Berkeley
- MSc, Mathematical and Theoretical Physics, University of Oxford
- MSc, Mathematical Sciences, University of Bristol
- BS, Bioengineering, University of Illinois at Urbana-Champaign
Postdoctoral Positions
Near the end of my PhD, I refocused on using probability theory to analyze phenomena from complexity science. I continued this work during my postdoc years with Dana Randall at Georgia Tech, who led a MURI on engineering collective behavior from 2019–2026. I explored how ideas from complexity science motivate new lines of probability research as part of the SLMath program Probability and Statistics of Discrete Structures. I also greatly benefitted (and continue to benefit) from visits to the Santa Fe Institute and the Department of Mathematics at the London School of Economics.
- Postdoctoral Fellow, Georgia Institute of Technology, in the
- Berlekamp Postdoctoral Fellow, Simons Laufer Mathematical Sciences Institute (SLMath)
- Visiting Postdoctoral Fellow, Santa Fe Institute
- Visiting Fellow, London School of Economics
Industry Experience
I have nine years of professional experience as a data scientist. From 2015 to 2022, I worked at a clinical data science company called Dascena, where I led the research team that developed the first machine learning–based sepsis alert system to improve patient outcomes in a clinical trial. After Dascena was acquired, I joined Forta Health, a startup that expands access to behavioral therapy for children with autism. In parallel, I led the research team at ProGrid Ventures, a startup that develops algorithms for participating in wholesale electricity markets. I left in 2024 to focus on academic research.