Thomas Lux is a skilled researcher and engineer with a strong background in machine learning and artificial intelligence. As a PhD candidate at Virginia Tech, Thomas conducted advanced research on spline interpolation, multivariate approximation, and nonparametric modeling, developing efficient algorithms and sophisticated mathematical software in Fortran. In industry roles, Thomas has served as a Senior Research Engineer at Amobee and is currently a Research Scientist at Meta, contributing to core initiatives within Data AI Labs. Previous academic experiences include projects at DePaul University and Roanoke College, where Thomas focused on innovative data analysis techniques and robotics. Thomas holds a Ph.D. in Computer Science from Virginia Tech and a B.S. in Computer Science from Roanoke College, complemented by minors in Physics and Mathematics.
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