Summary
Yunzhe Wang is a software engineer with a PhD in Materials Science and eight years of experience building computational platforms that accelerate materials and drug discovery. He specializes in developing scalable, cloud-agnostic automation for high-throughput simulations, ML/LLM integration, and HPC-optimized algorithms that translate physical science theory into predictive tools. At Kyulux and Nextonic he delivered systems enabling cross-continental collaboration and automated protein-ligand screening pipelines, while his doctoral work produced novel algorithms, a 63k nanocluster Quantum Cluster Database, and multiple peer-reviewed publications. Comfortable bridging research and production, he combines hands-on engineering with deep domain expertise in computational materials, simulation, and ML-driven analytics. Based in Boston, he brings a rare blend of theoretical rigor and practical software delivery that speeds R&D from simulation to experiment.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Science, Doctor of Philosophy (PhD), Computational Science at Middle Tennessee State University
Bachelor of Science (BS), Computational and Data Science, Bachelor of Science (BS), Computational and Data Science at George Mason University