Summary
Thomas Ales is a research scientist and engineer with nine years of experience bridging materials science, additive manufacturing, and data-driven control systems. Based in Ames, Iowa, he designs low-voltage hardware, develops motion-control and multithreaded neural network software, and resurrected a mothballed Directed Energy Deposition system to support titanium metallurgy research. He has combined ABAQUS-based FEA, custom subroutines, and probabilistic ANN models to predict mechanical properties and inverse heat transfer in AM processes. As co-founder of a company commercializing large-area orientation microscopy (SRAS), he brings entrepreneurial experience applying advanced metrology in production settings. Not obvious from his title: he moves fluidly between hands-on machine rebuilds, custom solver development, and scalable AI controls—delivering working prototypes in under six months when research needs demand it. He holds an MSc in Materials Science from Iowa State and a BS from the University of North Texas.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), Materials Science, Master of Science (MSc), Materials Science at Iowa State University
Associate of Science (A.S.), Science, Associate of Science (A.S.), Science at North Central Texas College
Bachelor of Science (B.S.), Material Science and Engineering, Bachelor of Science (B.S.), Material Science and Engineering at University of North Texas