معرفی
Dr. Wenpin Hou serves as an Assistant Professor (tenure-track) in the Department of Biostatistics at Columbia University's Mailman School of Public Health. She holds affiliations with the Data Science Institute, Foundations of Data Science Center, and Health Analytics Center, driving interdisciplinary work at the statistics-data science interface.
Her research pioneers statistical machine learning methods for single-cell genomics, epigenomics, and spatial transcriptomics, with core focus on gene regulatory network modeling and spatio-temporal pattern analysis. She actively develops generative AI applications (including Transformer models) for genomic data, enabling breakthroughs in understanding biological mechanisms across cancer, immunology, infectious diseases, and developmental processes through the ENCODE4 consortium.
Dr. Hou's exceptional contributions are recognized by major awards:
- NIH Maximizing Investigators’ Research Award (MIRA R35) from NIGMS (2023) for gene regulatory network inference using single-cell multiomics
- NIH Pathway to Independence Award (K99/R00 1K99HG011468-01) from NHGRI (2021) for single-cell DNA methylation spatial landscape analysis
Her NIH-funded programs advance computational genomics through collaborations spanning obesity, maternal/child health, and disease mechanisms. As an active Data Science Institute member, she shapes methodological frameworks for high-dimensional biological data while mentoring next-generation researchers in biostatistical innovation.
Dr. Hou's work integrates with Columbia's Health Analytics initiatives to translate genomic insights into therapeutic pathways, emphasizing collaborative team science across biomedical domains.
