Currently, I’m a postdoctoral fellow at Georgia Tech, with visiting positions at the Santa Fe Institute and the London School of Economics. In August 2026, I’ll join the University of Delaware as a tenure-track Assistant Professor in the Department of Mathematical Sciences. 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
Current Positions
Near the end of my PhD, I refocused on using probability theory to analyze phenomena from complexity science. I’ve continued this work during my postdoc years with Dana Randall at Georgia Tech, who has led a MURI on engineering collective behavior since 2019. During this time, I’ve greatly benefitted from visits to the Santa Fe Institute.
- Postdoctoral Fellow, Georgia Institute of Technology, in the
- Visiting Postdoctoral Fellow, Santa Fe Institute
- Visiting Fellow, London School of Economics
Previous Positions
Ideas from complexity science motivate new lines of probability research. I explored connections to random graphs and random matrix theory during the SLMath program Probability and Statistics of Discrete Structures last year.
- Berlekamp Postdoctoral Fellow, Simons Laufer Mathematical Sciences Institute (SLMath)
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.