Summary
Wenhui Wang is an Associate Data Scientist based in the Greater Seattle Area with nine years of experience translating complex biomedical and clinical datasets into actionable models and insights. With a Ph.D. in Probability and Mathematical Statistics and deep expertise in machine learning, deep learning, NLP, and LLMs, she has delivered high-impact solutions—from a 95% accurate ensemble for immunotherapy response to a 97% image classifier for cancer subtyping and an R2=0.98 tissue composition estimator. She combines rigorous academic training with production-ready engineering practices, having built automated pipelines, Dockerized deployments, and HIPAA-compliant S3 data architectures. Comfortable presenting to both technical and non-technical stakeholders, she bridges research and product priorities to drive data-informed decisions. A pragmatic innovator, she repeatedly improves algorithmic performance (often by 20–30%+) through novel integrations of network, sequencing, and imaging data.
8 years of coding experience
5 years of employment as a software developer
Ph.D, Probability and Mathematical Statistics, Ph.D, Probability and Mathematical Statistics at Shandong University
Data Science Certification, Data Science Certification at Springboard