My expertise is in Interdisciplinary Science, Machine Learning, Statistical Physics, and Sampling-based Robotic Motion Planning.
Both of my Ph.D. and Master's projects were interdisciplinary in nature. I completed my Ph.D. in Physics at the University of New Mexico. My dissertation was on a theoretical study of infectious disease dynamics among mice using tools in non-equilibrium statistical mechanics and condensed matter physics. My master's thesis, at the New Mexico Institute of Mining and Technology, was on examining critical phenomena in tropical convection.
Currently working as a Data Scientist at the Global Energy Monitor, a non-profit that curate data on the world's energy production sources.