Yan Huang

Yan Huang is a Lecturer at the Center for Statistics & Machine Learning at Princeton University. He earned his PhD in Statistics from the University of California, Berkeley, in 2019 under the advisement of Haiyan Huang, with a dissertation titled "Overcoming the Common Challenges in Differential Gene Expression Analysis Studies."

Education:

• PhD in Statistics, University of California, Berkeley (2019)

His research focuses on statistical methodologies for high-dimensional biological data, particularly differential gene expression analysis. This aligns with broader interests in machine learning applications to computational biology and genomics.