Elements of Data Science and Statistical Learning with R

Dr. Andrey Sivachenko was trained in theoretical physics at Moscow Institute of Physics and Technology and then did his PhD work in theoretical chemical physics at Weizmann Institute of Science, Israel. After a postdoctoral research appointment at the Department of Physics at the University of Utah, he took an industry job in 2001 as a computational biologist. Sivachenko has been working ever since in the field of bioinformatics and computational biology, applying computational tools and statistical analysis methods to biological data, and developing algorithms and software. He has been doing his research both in the private sector and in academic or non-profit settings (such as the Broad Institute and the Cystic Fibrosis Foundation) and had the chance (and luck) to work on a diverse set of problems and projects involving basic research and drug discovery. Sivachenko is currently a co-leader of Next Generation Sequencing group and head of bioinformatics for the Cystic Fibrosis Foundation Therapeutics Laboratory.

Victor A. Farutin is a seasoned computational biology data scientist and team leader with over two decades of experience in biotechnology and pharmaceutical industry with emphasis on bioinformatics, non-clinical statistics, and translational research and development. His expertise spans epi-/genomics, glyco-/proteomics, pathway network analysis, high-throughput computing, and statistical modeling, with particular focus on leveraging these domains to empower multidisciplinary teams and projects at the interface between molecular characterization of biological systems by orthogonal technologies and translational research. Currently at Verve Therapeutics, he held positions of increasing responsibility at Precede Biosciences, J&J, Momenta Pharmaceuticals, Pfizer, and Millennium Pharmaceuticals, where he started his career in the industry after obtaining PhD in physics and math (biophysics) from Moscow Institute of Physics and Technology and completing postdoctoral training at the University of Michigan.