Postdoctoral Researcher
CurrentDeveloping machine learning surrogate models to efficiently approximate the agent based models. Surrogates used to perform Bayesian inference or variational inference to calibrate model parameters. Includes time series analysis, random forests, gaussian processes, neural and universal differential equations, Markov chain monte carlo, and Stein variational.