I work in machine learning research with a particular focus on data engineering in uncommon settings. Recently, I have been involved in generating datasets for training language models to understand source code and generating datasets from physics-based simulations.
I have a Ph.D. in electrical engineering from the University of Mississippi. I graduated in 2019, and my dissertation was entitled “Design and Analysis of Efficient Parallel Bayesian Model Comparison Algorithms.” It was supervised by Prof. Paul Goggans.
I graduated from Rensselaer Polytechnic Institute in 2012 with a master of science degree in architectural sciences with a concentration in acoustics. Under the guidance of Dr. Ning Xiang, I investigated the application of Bayesian inference to room acoustic modal analysis. I graduated from Louisiana Tech University in 2011 with a bachelor of science degree in civil engineering.