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Hongzhe Li is a Professor at the Perelman School of Medicine at the University of Pennsylvania, with a primary focus on Biostatistics and Epidemiology Informatics. He has an extensive background in statistical genomics and is currently developing methods for the analysis of high-throughput genomic data, including genome-wide association studies for neuroblastoma and eQTL analysis of heart failure data. His research emphasizes statistical computational methods for genetic pathways and networks, with notable contributions to high-dimensional statistical methods for genomic data analysis. Prof. Li has published extensively in leading journals such as Science, Nature, and PNAS, and directs the Center for Statistics in Big Data. He is also involved in mentoring students in the fields of Biostatistics, Applied Mathematics, Computational Science, and Genomics.
Perelman School of Medicine, University of Pennsylvania • Philadelphia, PA, US
Research focused on statistical methodologies in genetics and genomics, development of novel statistical models and computational methods.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.