Zhen Chen
About Zhen Chen
Zhen Chen is a Data Scientist at ExxonMobil with expertise in developing machine learning-based surrogate models for reservoir simulation.
Title
Zhen Chen holds the position of Data Scientist at ExxonMobil, where he works on developing machine learning-based surrogate models for reservoir simulation.
Current Role at ExxonMobil
Since 2023, Zhen Chen has been employed as a Data Scientist at ExxonMobil based in Houston, Texas. In this role, he focuses on developing machine learning-based surrogate models specifically for reservoir simulation, catering to the complex needs of the energy sector.
Previous Experience at Dartmouth College
Prior to his current role, Zhen Chen served as a Postdoctoral Research Associate at Dartmouth College from 2021 to 2023. During his two years in Hanover, New Hampshire, he contributed to various research projects, building a robust foundation in his field.
Education and Expertise
Zhen Chen earned a Doctor of Philosophy (PhD) in Mathematics from The Ohio State University, where he studied from 2016 to 2021. Before that, he obtained a Master of Arts (MA) in Mathematics from the University of Wisconsin-Madison, attending from 2013 to 2015. Additionally, he graduated with a Bachelor of Science (BS) in Mathematics and Applied Mathematics from Shanghai Jiao Tong University, where he studied from 2010 to 2014.
Expertise in Surrogate Models for Energy Sector
Having a specialized focus on the energy sector, Zhen Chen is adept at building surrogate models for complex simulations. His current work at ExxonMobil involves the application of machine learning techniques to develop efficient models for reservoir simulations, demonstrating his expertise in this niche area.