I am a physicist working on complex systems, design problems, and human learning. I use a combination of theoretical, computational, and data tools, such as statistical mechanics, stochastic processes, network science, tensor networks, and sparse inference. I am broadly interested in how data about complex systems can be encoded and manipulated in algebraic information structures in order to distill the physical principles underlying emergent collective behavior. I have worked on problems ranging from naval ship design to nanomaterial self-assembly, human learning of semantic networks, gender bias in bibliographic citations, statistical inference, and precision agriculture.
I am currently a Postdoctoral Scholar in the AI Institute in Dynamic Systems and Department of Mechanical Engineering at University of Washington, working with Profs. Krithika Manohar and J. Nathan Kutz. Previously I was a Postdoctoral Researcher in the Complex Systems Lab at University of Pennsylvania, working with Prof. Dani S. Bassett. I got my Ph.D. in Physics in 2020 from University of Michigan, advised by Prof. Greg van Anders. En route, I also got M.Sc. in Physics in 2017 and Certificate in Complex Systems in 2019 from University of Michigan. I started my undergraduate studies at Belarusian State University and transferred to Massachusetts Institute of Technology, where I got my B.Sc. in Physics in 2015.