Summary
Huanqing Wang is a data scientist with nine years of applied analytics and research experience, currently building production data solutions at A2-Ai after recent product-focused roles in startups. With an MS in Statistics from the University of Chicago and a BS in Math & Statistics from UBC, he blends rigorous statistical foundations with hands-on engineering in Python, R, SQL, GCP, and AWS. He has a track record of shipping data pipelines and dashboards, designing A/B tests that boosted DAU by 15%, and deploying automated ML workflows that cut prediction and labor costs substantially. His research background includes novel causal discovery algorithms and ecological forecasting, packaged as R tools used by collaborators and published in peer-reviewed venues. Comfortable bridging academia and product teams, he often turns complex, scarce datasets into standardized metrics and actionable forecasts. Colleagues describe him as a relentless learner who leverages interdisciplinary insight—social neuroscience and ecology influences show up in the creative ways he frames data problems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Combined Honours in Mathematics and Statistics, Bachelor of Science - BS Combined Honours in Mathematics and Statistics at The University of British Columbia
Master of Science - MS Statistics, Master of Science - MS Statistics at University of Chicago
English, Chinese