Summary
Ran Chen is a research-focused computational chemist and software-savvy developer with 11 years of experience, combining deep expertise in density functional theory, plasmonics, and quantum chemistry simulations with strong Python, Bash, and Fortran skills. At Penn State and Kebotix he built cloud-enabled computational pipelines on Google Cloud Platform, developed Gaussian process and graph-convolutional models (Scikit-learn, PyTorch) to predict vibrational spectra, and created visualization tools to interpret Raman intensities at the atomic-bond level. His work uniquely bridges theory and experiment—collaborating with experimentalists to track plasmon-driven reaction intermediates and local fields via Stark shifts—while also contributing modeling advances like the Raman bond interpretative model. Trained through PhD work in physical chemistry and hands-on internships, he blends rigorous academic training with practical engineering to scale simulation workflows and apply ML to spectroscopic prediction.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physical Chemistry, 3.95/4.00, Doctor of Philosophy - PhD, Physical Chemistry, 3.95/4.00 at Penn State University
Bachelor of Science - BS, Chemistry, 3.84/4.00, Bachelor of Science - BS, Chemistry, 3.84/4.00 at Jilin University
English, Chinese