John Foster and Michael Pyrcz
August 9, 2022 - Noon Central
CSEE Webinar

Join via TEAMS Webinar


Join CSEE’s Professors Michael Pyrcz and John Foster for a moderated panel-style discussion on “What it takes to become an Energy Data Scientist.” They will discuss the educational background, training, and skills needed to succeed as a Data Scientist in the energy industry. Additional topics will include how to market yourself as a data scientist, a “data scientist resume”, and where and how to enhance your skills.


John T. Foster is an Associate Professor in The Hildebrand Department of Petroleum and Geosystems Engineering, The Department of Aerospace Engineering and Engineering Mechanics, and a core faculty member at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. Before joining UT-Austin, he was previously a faculty member in mechanical engineering at UTSA and was a Senior Member of the Technical Staff at Sandia National Laboratories where he worked for 7 years. He received his BS and MS in mechanical engineering from Texas Tech University and PhD from Purdue University. He is a registered Professional Engineer in the State of Texas, and the co-founder and CTO of daytum, a tech-enabled data science education company focusing on the energy industry. During his career in research he has been involved in many projects ranging from full scale projectile penetration field tests, to laboratory experiments using Kolsky bars, to modeling and simulation efforts using some of the world’s largest computers. His research interests are in experimental and computational mechanics and multi-scale modeling with applications to geomechanics, impact mechanics, fracture mechanics, anomalous transport processes, and scientific machine learning.

Michael J. Pyrcz is an  Associate Professor in the The Hildebrand Department of Petroleum and Geosystems Engineering, Cockrell School of Engineering, and the Department of Geological Sciences, 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 data analytics, geostatistics and machine learning. In addition, Michael accepted the role of Principal Investigator for the College of Natural Sciences, The Uni  versity of Texas at Austin, freshman research initiative in energy data analytics. Before joining The University of Texas at Austin, Michael conducted and lead research on reservoir data analytics and modeling for 13 years with Chevron’s Energy Technology Company. He became an enterprise-wide subject matter expert, advising and mentoring on workflow development and best practice. Michael has written over 45 peer-reviewed publications, an open source Python data analytics package and a textbook with Oxford University Press. He is currently the associate director of the Center for Subsurface Engineering and the Environment, an associate editor with Computers and Geosciences, editorial board member for Mathematical Geosciences and the Program Chair for the Petroleum Data Driven Analytics Technical Section (PD²A) for the Society of Petroleum Engineers International. For more information go to, see his course lectures at along with the demonstration numerical workflows at and contributions to outreach through social media at