Dr. Hongzhe Li Presents 2009 Myra Samuels Memorial Lecture - Department of Statistics - Purdue University Skip to main content

Dr. Hongzhe Li Presents 2009 Myra Samuels Memorial Lecture


Dr. Hongzhe Li was the invited speaker for the Myra Samuels Memorial Lecture which was held on Thursday, April 2, 2009 at 4:30 pm in MA 175. The title of his talk was "High Dimensional Statistics in Genomics: Some New Problems and Solutions." Refreshments followed the seminar at 5:30 pm in HAAS 111.

Dr. Hongzhe Li is a Professor of Biostatistics in the Department of Biostatistics and Epidemiology at the University of Pennsylvania School of Medicine. He is currently serving as the Associate Editor of the Journal of the American Statistical Assocation and is a founding Associate Editor of Statistics in Biosciences. In addition, he is a regular member of NIH Biostatistics Methods and Research Design (BMRD) Study Section and serves on the Education Committee of International Biometrics Society. Dr. Li is an Elected Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.

Dr. Li received a Ph.D. degree in Statistics in 1995 from the University of Washington in Seattle. His research interests focus on developing statistical, probabilistic, and computational methods for genetic and genomic data analysis, bioinformatics, and computational biology. Dr. Li has developed improved linkage and association analysis methods for mapping genes for complex human diseases. He is currently developing statistical methods for analysis of micorarray time course gene expression data, methods for linking high-throughput genomic data such as microarray gene expression data and array CGH data to censored survival data and methods for inferences of genetic networks.

The Myra Samuels Memorial Lecture is named in memory of Myra Samuels who was Associate Professor of Biostatistics and Epidemiology in Purdue's Department of Veterinary Pathobiology and Associate Director of Statistical Consulting in the Department of Statistics.

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