Dr. Eric Sobel

Biography

Eric Sobel is an Adjunct Professor at UCLA Medical School, specializing in statistical genetics with a focus on gene-mapping algorithms. His research interests include the development and application of algorithms that enable the statistical analysis of large and complex pedigrees. He has been involved in numerous projects aimed at extending Genome-Wide Association Studies (GWAS) analysis tools, particularly in the study of rare variants and haplotypes in family data. He has a core interest in algorithm optimization, including recent implementations on GPU and Many Integrated Core (MIC) architectures. Sobel is dedicated to ensuring that state-of-the-art algorithms are available to meet the needs of the research community, which informs his algorithmic development work. His recent applications of gene-mapping algorithms have been pivotal in studies related to breast cancer, obesity, Williams syndrome, migraine, schizophrenia, corneal dystrophy, psoriasis, familial dyslipidemia, and congenital lipodystrophy. Throughout his career, he has mentored both pre-doctoral and post-doctoral scholars, guiding them towards successful careers in academia.

Research Interests