Principal Scientist, Probabilistic Machine Learning, Statistics
Yangpu District, Shanghai, China
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Summary
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Senior
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Top School
Mark Wolters is a Principal Scientist specializing in probabilistic machine learning and statistics with eight years in data science roles and a prior career as a professional engineer. He blends rigorous academic research—PhD-level work in shape-constrained density estimation and correlated binary responses—with hands-on industrial impact at BASF, where he progressed from scientist to principal roles in digitalization and modelling. Comfortable shipping software and R packages (kofnGA, scdensity) and teaching statistical computing, he excels at synthesizing ideas across statistics, engineering and product teams to solve applied problems. Based in Shanghai, he brings deep technical judgment, experimental design expertise, and a knack for failure analysis from earlier engineering work. Colleagues describe him as collaborative and diligent, and he’s refreshingly averse to self-promotion despite a strong track record of practical, reproducible research and tooling.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Metals and Materials Engineering, Bachelor of Applied Science (B.A.Sc.), Metals and Materials Engineering at University of British Columba
Ph.D, Statistics, Ph.D, Statistics at Western University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Simon Fraser University
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Mark Wolters - Principal Scientist, Probabilistic Machine Learning, Statistics