Summary
Yi Wen is a research scientist with eight years of experience blending data science, statistical modelling, and human-centered design across academia and industry. Trained at Carnegie Mellon (Business Administration & Statistics) and NYU (Data Science), she has applied regression, A/B testing, and machine learning to healthcare, telecom, and organizational research at institutions including Huawei, NYU Langone, Mercer, and CMU. She leads end-to-end studies—designing surveys, cleaning physiological and behavioral data, and generating actionable insights for product and HR strategy—while also prototyping UX with HTML/CSS/JavaScript and Adobe Creative Cloud. Recognized as a vGHC and Tapia scholar, Yi combines quantitative rigor with a strong grasp of economics, finance and organizational behavior to bridge technical analysis and business impact. Based in Jersey City and authorized on STEM OPT, she brings a multidisciplinary perspective that often uncovers behavioral signals missed by purely technical teams.
8 years of coding experience
2 years of employment as a software developer
Summer Exchange, Geopolitics and European Cultural studies, Summer Exchange, Geopolitics and European Cultural studies at ICN Business School
Master's degree, Data Science, Master's degree, Data Science at New York University
Bachelor’s Degree, Business Administration and Management, General, Bachelor’s Degree, Business Administration and Management, General at Carnegie Mellon University - Tepper School of Business
High School, Alevel & IGCSE, High School, Alevel & IGCSE at Ulink High School of Suzhou Industrial Park.
English, Chinese, Japanese, French