Jian Hu

Jian Hu is an Assistant Professor at Emory University with a joint appointment in the Department of Human Genetics and Department of Biostatistics and Bioinformatics. He directs the AI in Genomics Lab, focusing on developing machine learning methods for multi-omics data integration and digital pathology analysis. His research bridges statistics, computational biology, and clinical applications to advance precision medicine.

Education: PhD in Biostatistics from the University of Pennsylvania (2021) and B.S. in Molecular Biology from Wuhan University, China. Professional affiliations include the American Statistical Association and International Chinese Statistical Association.

Research emphasizes spatial multi-omics integration (e.g., MISO algorithm in Nature Methods 2025), single-cell RNA sequencing analysis, and AI-driven pathology imaging tools. Notable achievements include the 2021 ASA Best Student Paper Award and the 2023 Kaushal Multidisciplinary Science Award.

Lab activities include mentoring students (e.g., Chenyang Yuan’s Patel-Naik Award win) and collaborative projects with biomedical researchers. Active in guest lectures at institutions like the University of Saskatchewan and University of Victoria, addressing topics like genomics data analysis and machine learning applications.