Dr. Michael Pyrcz is a Professor at The University of Texas at Austin in the Cockrell School of Engineering and the Jackson School of Geosciences with an assignment in the Bureau of Economic Geology.

At The University of Texas at Austin, Michael teaches and supervises research on subsurface, spatial data analytics, geostatistics and machine learning related to the modeling and decision making for the optimum development of geospatial natural resources, e.g., oil and gas, minerals, water, and environmental remediation.

Michael is well-known in the oil and gas industry with 13 years of experience as a geomodeller, research scientist and research team leader in Chevron’s Technology Company, as the coauthor of the widely used textbook, ‘Geostatistical Reservoir Modeling, 2nd Edition’, author of over 70 peer review publications and inventor of several patents.

In addition, Michael is an associate editor with the Computers and Geosciences and on the editorial board of Mathematical Geosciences peer-referred journals, principal investigator of the Energy Analytics Freshmen Research Initiative in the College of Natural Sciences and a core faculty in the Machine Learning Laboratory, The University of Texas at Austin.