Eran Halperin, PhD

Professor, Departments of Computer Science, Computational Medicine, Anesthesiology, Human Genetics, UCLA; Associate Director of Informatics, Institute of Precision Health, UCLA; Co-Director, Computation Genomics Summer Institute, UCLA
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Biographical Info

Dr. Eran Halperin is a professor in the departments of Computer Science, Computational Medicine, Anesthesiology, and Human Genetics. He is also the associate director of informatics in the Institute of Precision Health at UCLA and the co-director of the Computation Genomics Summer Institute at UCLA. Dr. Halperin received his Ph.D. in computer science from Tel-Aviv University. Prior to his current position, he held research and postdoctoral positions at the University of California, Berkeley, the International Computer Science Institute in Berkeley, Princeton University, and Tel-Aviv University. Dr. Halperin is a computational biologist who develops statistical and computational methods for the analysis of genomic and medical data in the context of human diseases. His group has developed methods and software that have been used by hundreds of researchers worldwide in a range of genomic applications including genetics, epigenetics, and microbiome. He has published over 100 peer-reviewed articles across different disciplines such as human genetics, computational biology, and theoretical computer science. He received various honors for academic achievements, including the Rothschild Fellowship, the Technion-Juludan prize, and the Krill prize.

Relevant Recent Publications

  1. Sankararaman, S., Sridhar, S., Kimmel, G., & Halperin, E. (2008). Estimating local ancestry in admixed populations. The American Journal of Human Genetics, 82(2), 290-303.
  2. Sankararaman, S., Obozinski, G., Jordan, M. I., & Halperin, E. (2009). Genomic privacy and limits of individual detection in a pool. Nature genetics, 41(9), 965
  3. Yang, W. Y., Novembre, J., Eskin, E., & Halperin, E. (2012). A model-based approach for analysis of spatial structure in genetic data. Nature genetics, 44(6), 725.
  4. Rahmani, Elior, et al. “Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.” Nature methods 13.5 (2016): 443
  5. Shenhav, L., Furman, O., Briscoe, L., Thompson, M., Silverman, J. D., Mizrahi, I., & Halperin, E. (2019). Modeling the temporal dynamics of the gut microbial community in adults and infants. PLOS Computational Biology, 15(6), e1006960
  6. Shenhav, L., Thompson, M., Joseph, T. A., Briscoe, L., Furman, O., Bogumil, D., … & Halperin, E. (2019). FEAST: fast expectation-maximization for microbial source tracking. Nature methods, 1
  7. Baran, Yael, and Eran Halperin. “Joint analysis of multiple metagenomic samples.” PLoS computational biology 8.2 (2012): e1002373.
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