Graduate Student Center for Computational Geosciences and Optimization
Preston is a second-year graduate student within the Computational Science, Engineering, and Mathematics Master's program. Previously, Preston completed his undergraduate degree at The University of Texas at Austin and specialized in mathematics and geological sciences. Alongside his bachelor's degrees, Preston also completed two certificates in Computational Science and Engineering, Scientific Computation and Data Sciences, and an undergraduate honors thesis on "Pore Fluid Overpressure Generation in Viscously Deforming Porous Media: Implications for Modeling Episodic Fluid Migration in Salt Basins".
Looking forward, Preston is interested in exploring quantitative methodologies for deriving actionable insights from commodity markets. Alongside pursuit of his master's degree, Preston is also working full-time as a Natural Gas Research Associate at Wood Mackenzie with an emphasis on Gulf Coast natural gas and LNG markets.
Research interests include Machine Learning, Optimization, Commodity Markets and Derivatives Pricing.
B.S., Mathematics, The University of Texas at Austin (2019)
B.S., Geological Sciences, The University of Texas at Austin (2019)