BIG Math Network Industry Connection Series: Energy Industry

The Industry Connection Series features interactive panels with mathematical scientists working in industry. The goal is to connect mathematical sciences students directly with industry members who can answer student-generated questions. Students at all levels are welcome and encouraged to attend and ask questions.

The next event is coming soon on Tuesday, March 22nd, 2022, at 10am PT/11am MT/12pm CT/1pm ET. Industry panelists will be Anusha Sekar, Senior Research Geophysicist at Chevron, and Amr El-Bakry, Computational and Data Sciences Advisor at ExxonMobil. The event will be moderated by Mayowa Awe, Director of inSTEM.

Register for the Zoom event here!

Update: registration for this event has ended. If you would like to attend the event this afternoon, please email with your Name, Email, and position at university. To be notified in advance of next month’s event, please join our mailing list today.

Originally from Chennai, India, Anusha Sekar received her Ph.D. in Mathematics at the University of Washington, Seattle. Her research interests at the UW included numerical analysis, numerical methods for wave propagation and geophysical inverse problems. She joined Chevron as in 2009 and has been working on various problems related to seismic imaging and full waveform inversion (FWI). She currently took a year-long sabbatical to go back to school and earned a Masters in Computer Science degree from Rice University, and now works on machine learning solutions for seismic interpretation and imaging.

She has also served on the board of the SIAM Texas Louisiana section, working towards promoting collaboration between mathematicians in industry and academia in the Texas-Louisiana region. She is currently in the SIAM membership committee.

She is married with two daughters, loves reading and going on road trips with her family.

Amr El-Bakry is a Computational and Data Sciences advisor at ExxonMobil Upstream Integrated Solutions Co. where he also serves as a senior Business Development and Advisor. He is also an adjunct professor at the Department of Computational and Applied Mathematics, Rice University, Houston, Texas, USA. He received his Bachelor’s degree in Mathematics from Alexandria University, EGYPT in 1984 and his Ph.D. in 1991 from the Department of Computational and Applied Mathematics at Rice University. He served in multiple academic positions from 1991 to 1998 between Alexandria University and Rice University before joining ExxonMobil. His research focuses on the design, analysis, and implementation of industrial data science and optimization methods technology. In the last ten years, his focus has been on the application of machine learning and optimization methods to production optimization problems. Amr currently serves as a member of the advisory board for SPE’s Data Science and Engineering Analytics technical discipline.

Amr serves on the editorial board of the journal of optimization and Engineering, SIAM book series on Mathematics in Industry, SIAM book series in Mathematics of Data Science, and SPE’s online publication on Data Science and Digital Engineering.  He serves as a director of the Society of Petroleum Engineer’s Data Analytics Technical Section. Amr also serves on the Industry Advisory Panel of SIAM journal on the Mathematics of Data Science.

Amr served as the Vice President of Industry for SIAM (2016-2020), the chairperson pf SPE’s Petroleum Data Driven Analytics Technical Section (2013-2018), and a member of SIAM task force that developed SIAM’s report on “Future Research Directions for the National Science Foundation in the Era of COVID-19.” 

Dr. Mayowa Awe received her Ph.D. in mathematics from the University of Texas at Arlington, where her research focused on the mathematical modeling of infectious diseases. She is currently the Director of inSTEM, an auxiliary mentorship program for undergraduate STEM students from underrepresented communities, at the National Science and Technology Medals Foundation (NSTMF). Prior to joining the NSTMF, Dr. Awe was a Senior Data Analyst at Lockheed Martin Corporation. Outside of her work, Dr. Awe enjoys teaching, public speaking, and mentoring. Through speaking engagements, she seeks to encourage the next generation of STEM scholars and expose others to the versatility of mathematics.  

The BIG Math Network is grateful for sponsorship by the American Mathematical Society (AMS), American Statistical Association (ASA), Institute for Operations Research and the Management Sciences (INFORMS), Mathematical Association of America (MAA), Society for Industrial and Applied Mathematics (SIAM).

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