Analytical Consultant at SAS | Computational Physicist
I am currently an Analytical Consultant within the US Professional Services division at SAS. I primarily implement demand forecasting solutions in the context of planning and optimization. I also work in the energy forecasting space.
I completed my Ph.D. in Physics at the University of North Carolina at Chapel Hill, where I developed a variety of computational techniques to study the thermodynamics of strongly-interacting quantum matter. I received my B.S. degree in Physics from the Rochester Institute of Technology in 2014, and obtained my M.S. from UNC Chapel Hill. The majority of my research interests lie in developing novel methodologies for forecasting, as well as continuing to develop and apply high-performance algorithms to understand the behavior of complex interacting systems. These approaches include stochastic techniques (Hamiltonian (or hybrid) Monte Carlo, complex Langevin), computational analytic methods, neural network architectures, and machine learning.
Academic publications can be found in leading physics journals and archives:
SSS - Feel free to reach out.
Page updated Sep. 3 2025.