Machine Learning Engineer

Here at Mined XAI, Kenneth leads projects primarily focused on scientific research and measurement optimization. He has been developing techniques for understanding complex chemical spectral data such as NMR and GC and applying these techniques to problems in chemometrics and food science. He also explores novel algorithms in computational topology and Topological Data Analysis, such as with simplicial complex construction algorithms and applications of Morse theory. ‍ Kenneth received his Bachelor's in Mathematics with a minor in Computer Science from Wright State University. He spends a lot of his free time making craft cocktails, taking walks, and trying to keep himself in a perpetual state of learning through self-study in mathematics and philosophy.