Summary
Yuhang Lan is a Data Scientist based in Shanghai with 12 years of industry experience and a strong statistical foundation from a BS in Statistics and an MS in Data Science (University of Wisconsin–Madison). He has applied predictive modeling, clustering, association analysis and deep learning across consumer and healthcare contexts, currently delivering data-driven insights at L'Oréal. Previously part of Johnson & Johnson’s Technology Leadership Development Program, he built reproducible workflows (SAS→R) that cut analysis time by 70% and accelerated regulatory evidence generation for Janssen. Known for organizing messy data into production-ready pipelines and translating technical results for clinicians and business stakeholders, he blends rigorous methodology with practical impact. Colleagues value his problem-solving reputation and capacity to drive operational improvements across cross-functional teams. Off the record he signs code and notes “Biu~” on GitHub, hinting at a playful, personable side behind his analytical rigor.
12 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at University of Wisconsin-Madison
Bachelor's degree, Statistics, Bachelor's degree, Statistics at East China Normal University