Summary
Di Du is an advanced research associate and data-driven computational physicist with 10 years of experience combining statistical learning, mathematical modeling, and hands-on experimental techniques to accelerate materials discovery and complex process understanding. At ExxonMobil she leads modeling teams developing computer vision, soft sensors, and forecast models for unconventional resources and CCUS, and has built Bayesian and high-throughput pipelines that bridge curated knowledge bases with deployed cloud-containerized models. Her background spans biostatistics and bioinformatics (MD Anderson) to nonlinear dynamics and soft-matter simulation (Rice), producing multiple peer-reviewed publications and pending patents in industrial R&D. She pairs deep numerical and stochastic expertise (PDEs, Monte Carlo, Bayesian optimization) with practical lab skills from mass spectrometry to photolithography, enabling tight integration of experiment and computation. Notably, she has repeatedly translated prior experimental databases into actionable priors for Bayesian frameworks that materially speed materials screening and process reconciliation.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical Engineering, GPA 3.9, Doctor of Philosophy (Ph.D.), Chemical Engineering, GPA 3.9 at Rice University
Shude High School
Bachelor of Engineering (BEng), Chemical Engineering, Bachelor of Engineering (BEng), Chemical Engineering at Tsinghua University
English, Chinese