Mulin Cheng
About Mulin Cheng
Mulin Cheng is a Computational Optimization Scientist at ExxonMobil with extensive experience in applied mathematics and computational fluid dynamics.
Professional Experience at ExxonMobil
Mulin Cheng has been serving as a Computational Optimization Scientist at ExxonMobil since 2012, located in Spring, Texas. His role encompasses supporting option valuation, hedging strategy, and risk management. He leverages his expertise in parallel computation and stochastic ordinary/partial differential equations to optimize computational tasks and enhance operational efficiencies. Before his full-time position, Cheng had a brief stint as a Summer Intern at ExxonMobil in 2011 in Houston, Texas, which provided him with significant industry experience.
Academic Background at California Institute of Technology
Mulin Cheng holds a Doctor of Philosophy (Ph.D.) and a Master of Science (M.Sc.) in Applied Mathematics from the California Institute of Technology (Caltech). His academic journey at Caltech, spanning from 2005 to 2012, included roles as both a Research and Teaching Assistant in the Applied and Computational Mathematics department. This extensive period allowed him to deepen his knowledge in complex mathematical theories and their applications.
Previous Roles in Computational and Development Fields
Cheng's professional journey includes diverse roles in various prestigious institutions. He worked as an Application Developer at Oracle Corporation within the Procurement Development Department from 2008 to 2009. Additionally, he contributed as a Consulting Engineer at FANGDA Consulting and CD-adapco in Beijing, China. His experience also includes a significant term as a Research Assistant at the Computational Fluid Mechanics Lab at Peking University from 2000 to 2005.
Education at Peking University
Before his time at Caltech, Mulin Cheng earned his Master of Science (M.Sc.) in Computational Fluid Dynamics from Peking University, where he studied from 2002 to 2005. He also received a Bachelor of Science (B.Sc.) in Mechanics from the same institution, completed between 1998 and 2002. His foundational education at Peking University set the stage for his advanced studies and subsequent career in computational optimization and applied mathematics.
Skills and Expertise
Throughout his career, Mulin Cheng has developed specialized skills in computational optimization, parallel computation, and the handling of stochastic ordinary and partial differential equations. His work focusing on option valuation, hedging strategy, and risk management showcases his ability to apply complex mathematical and computational techniques to practical and industry-relevant problems.