Summary
Eugene Chung is a computational chemist and graduate research assistant with nine years of experience applying quantum chemistry (DFT, QM), molecular docking, and molecular dynamics using tools like Gaussian, ORCA, CP2K, AMBER, and Autodock. Based in the New York City area, he combines deep domain knowledge in theoretical chemistry with practical software skills in Python, C/C++, MATLAB, and ML frameworks such as TensorFlow and PyTorch, enabling reproducible simulation workflows. He also brings hands-on experience with Linux, Docker, Kubernetes, and SQL for scalable, containerized research pipelines. An educator as well as a researcher, Eugene has taught laboratory safety and core lab practices, reflecting strong communication skills alongside technical depth. Less obvious is his cross-disciplinary fluency—comfortable moving between code, high-performance simulation, and classroom instruction—to translate complex computational results into usable outcomes.
9 years of coding experience
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at The Graduate Center, City University of New York
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Stony Brook University