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
1 year of employment as a software developer
Johns Hopkins University
The University of Hong Kong (HKU)
The University of Melbourne