Ben Foley

Ben Foley is a versatile professional with a strong background in materials science, chemical engineering, and data science. As a PhD candidate at the University of Virginia from September 2013 to August 2018, Ben conducted significant research on semiconductor thin films, focusing on crystallization kinetics and the fabrication of lead halide perovskites. Prior experience includes a research assistant role at Oregon State University, where Ben developed innovative polymer membranes for microbial fuel cells, and an internship at Lam Research, where Ben contributed to improvements in electroplating processes. Ben also held a fellowship with The Data Incubator, enhancing data science skills, and completed research at Oak Ridge National Laboratory on electronic quality in semiconducting films. More recently, Ben has served in various roles, from a Research Engineer at Tandem PV to a Senior Machine Learning Engineer at Tubular Labs, currently working as a Machine Learning Engineer at Meta. Ben holds a Bachelor of Science in Chemical Engineering from Oregon State University.