Summary
Yijun Guo is a Senior Data Scientist based in Mountain View with eight years of experience building production data pipelines and applied ML solutions that accelerate scientific discovery and product development. At Uncountable he combined Bayesian optimization and fine-tuned Gaussian processes to cut experiment and testing cycles by up to 40% and delivered customer-facing analytics platforms used by 100+ internal and external users. His background spans academic R&D—where he scaled reactions, engineered robust catalysts, and fused heterogeneous characterization data—with industry practice in experiment design, cost reduction, and stakeholder-facing insights for C-level decision making. Comfortable across Python and R, he also has experience shipping web apps and search systems from his Insight Data Science fellowship. Notably, he blends deep domain knowledge in chemistry and materials with practical ML to turn noisy, multi-modal scientific data into actionable, production-grade solutions.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at Iowa State University
Bachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Anhui Normal University
Data Processing and Data Processing Technology/Technician, Data Processing and Data Processing Technology/Technician at Udacity
English, Chinese