Dr. Dmitry Prokopenko has a broad background in multiple disciplines, including mathematics, biostatistics, bioinformatics, genomics, and genetics. His Ph.D. research focused on developing methodologies for sequencing studies, and his primary contribution was creating a method that efficiently detects and corrects population stratification in sequencing data using rare variants. He has worked on rare variant association studies in both family-based and unrelated whole genome sequencing (WGS) datasets, as well as on identifying AD associated mutations that differ by sex, population, and other subgroups. In addition, he has been developing multi-omic models to improve disease outcome prediction and has expertise in metabolomic and methylation data quality control and analysis.

Learn more about Dr. Prokopenko’s research and lab here.