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.
Recently, I decided to take an exploratory path to work in a non-science field. This was a significant decision after my ~20-year pursuit of a research career, going through a Ph.D. program in Physics, teaching, and doing a postdoc. After dragging my feet for several years post-Ph.D., I've finally come to accept the discrepancy between the idea of an academic/research career I had held so highly of and the reality of the Academic industry. My personal data over the past ~15 years indicates that the reality of an academic environment is troublingly damaging to me, as in me as an organism -- humankind. So, as much as it is unbelievable and viscerally shocking, I decided not to pursue an academic research position for my next step. Well, I got to be a good scientist and base my action on the research results: academic and analytical/technical-heavy environment has been harmful to the health of my person as-a-whole.
With this understanding, I am very excited about my Research Analyst position at the Global Energy Monitor. This is a nonprofit company that gathers and disseminates data on global energy production sources.
I cannot fail to mention though that there are amazing people in academia: those who I worked under throughout my academic stages who trained me and mentored me. They are the reason why I made the hard journey for which I am glad I did.