Summary
Yacong Zhou is a Senior Software Engineer with 11 years of experience who blends deep computational chemistry research with production software development, currently building systems at Verily. Trained at Caltech as a PhD candidate in Computational Chemistry and with a strong minor in Computational Science and Engineering, he has translated rigorous molecular dynamics and DFT parameterization work into scalable Python tooling and HPC workflows. His background includes novel methods for accelerating ab initio simulations and statistical equilibration criteria, reflecting a knack for turning domain science into reliable software and models. Comfortable in machine learning, statistics, and large-scale simulation, he seeks roles that bridge research-grade computation and production ML/data systems. An under-the-radar strength is his experience optimizing scientific algorithms (e.g., gradient-based force field fitting and Monte Carlo–accelerated MD), enabling faster, more accurate thermodynamic predictions for complex geological materials.
11 years of coding experience
13 years of employment as a software developer
University of Wisconsin-Madison
Bachelor of Science (BSc) Chemistry, Bachelor of Science (BSc) Chemistry at Nanjing University
California Institute of Technology
Chinese, English