Summary
Hao Zhou is a Senior Member of Technical Staff with a decade of experience blending machine learning, data science, and experimental chemical engineering to solve real-world problems. He builds predictive models (neural nets, CatBoost, Bayesian optimization) and real-time IoT visualizations, and pairs that software expertise with hands-on nanoparticle synthesis and characterization using techniques like TEM, XRD, SMPS and electrospray. His research work includes developing a charged-droplet drying model and applying CFD (COMSOL, ANSYS Fluent) to aerosol transport and tear-film aerosolization, linking computational theory to experimental validation. At Oracle and in prior academic roles he has created curated datasets, implemented imbalance-aware ML pipelines, and deployed production-ready analytics on cloud platforms. Based in Beijing with a PhD from Washington University in St. Louis, he uniquely bridges materials science and scalable ML—often turning lab-scale phenomena into data-driven, deployable insights.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Xi'an Jiaotong University
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Washington University in St. Louis
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at Tsinghua University
Chinese, English