Mark Butler

Mark Butler is an experienced professional with a strong background in mathematics and chemistry, holding an MS in Mathematics from the University of Utah and a PhD in Chemistry from the California Institute of Technology, both with a 4.0 GPA. A former Associate Instructor at the University of Utah, Mark taught various undergraduate mathematics courses. Subsequent postdoctoral research roles at École normale supérieure, UC Berkeley, and Pacific Northwest National Laboratory focused on NMR spectroscopy and innovative instrumentation development. As a Principal Scientist at Halliburton, Mark designed simulators and algorithms for NMR tools. Recently, Mark has contributed to data science and automation at HP, improving firmware development processes. Mark also completed a data science bootcamp at NYC Data Science Academy.