
Research Topics
The Ovcharenko Research Group focuses on developing artificial intelligence (AI) methods for the functional characterization of noncoding DNA in the human genome. The group leverages advanced AI approaches deployed in cloud computing environments to accurately identify disease-causing variants associated with a range of complex human diseases and disorders, including type 2 diabetes, Parkinson's disease, Alzheimer's disease, polycystic ovary syndrome (PCOS), glaucoma, and others.
In addition, the group investigates silencers and super-silencers and their roles in carcinogenesis and metastatic cancer progression. This research spans multiple cancer types, including diffuse large B-cell lymphoma (DLBCL), ovarian cancer, and breast cancer.
Biography
Dr. Ovcharenko is a Senior Investigator in the Division of Intramural Research at the National Library of Medicine (NLM), National Institutes of Health (NIH). He joined NIH as a tenure-track investigator in 2007, following his tenure at Lawrence Livermore National Laboratory (2003-2007) and a visiting scientist appointment at the Joint Genome Institute. Previously, he served as a Staff Scientist at Lawrence Berkeley National Laboratory (2001-2003) and completed a postdoctoral fellowship at the University of California, Berkeley (1999-2001).
Dr. Ovcharenko serves on the editorial boards of several scientific journals and has authored more than 90 publications, including papers in Science, Nature, and Proceedings of the National Academy of Sciences (PNAS), primarily in the field of regulatory genomics.
Selected Publications
- Huang D, Ovcharenko I. Silencer variants are key drivers of gene up-regulation in Alzheimer's disease. Sci Adv. 2026;12(7):eadz3323.
- Huang D, Petrykowska HM, Kumar D, Kardava L, Moir S, Afzali B, Elnitski L, Ovcharenko I. Super-silencers are crucial for development and carcinogenesis in B cells. Nat Commun. 2025;16(1):8395.
- Huang D, Ovcharenko I. The contribution of silencer variants to human diseases. Genome Biol. 2024;25(1):184.
- Hudaiberdiev S, Taylor DL, Song W, Narisu N, Bhuiyan RM, Taylor HJ, Tang X, Yan T, Swift AJ, Bonnycastle LL, Consortium D, Chen S, Stitzel ML, Erdos MR, Ovcharenko I, Collins FS. Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits. Proc Natl Acad Sci U S A. 2023;120(35):e2206612120.
- Li S, Hannenhalli S, Ovcharenko I. De novo human brain enhancers created by single-nucleotide mutations. Sci Adv. 2023;9(7):eadd2911.
Related Scientific Focus Areas
This page was last updated on Wednesday, July 15, 2026


