Eric Sobel

Eric Sobel is a Research Professor specializing in statistical genetics and gene-mapping algorithms. His work focuses on developing computational methods for genetic association studies, particularly for rare variants and family data. Research spans algorithm optimization (GPU/MIC implementations) and applications in breast cancer, obesity, schizophrenia, and other complex diseases.

Research Focus: Development of novel statistical approaches for GWAS, haplotype analysis, and pedigree-based studies with emphasis on translational impact in precision medicine.

Publication Trends: Recent work demonstrates strong emphasis on ancestry inference methods, gene-environment interactions in cancer, and machine learning applications for biobank-scale genomic data.