Liyun Zeng

Liyun Zeng is a seasoned professional in quantitative risk analysis and machine learning, currently serving as a Sr. Quantitative Risk Analyst at New York Community Bank since June 2023, focusing on model development and validation. As an Affiliate Research Scientist at the University of Arizona, Liyun Zeng contributes to statistical machine learning research, with experience as a Research Scientist emphasizing nonparametric classification and high-dimensional data analysis. Previous roles include Data Scientist positions at Bayer and Sanofi, where Liyun Zeng applied machine learning to predictive modeling and RNA-seq data analysis. Other experience encompasses an Applied Scientist role at Amazon, predictive modeling at Carvana, and data analysis at Bank of China. Liyun Zeng holds two PhDs in Statistics and Molecular and Cellular Biology from the University of Arizona and the University of Washington, respectively, along with an MS in Computer Science and a B.S. in Biological Science.