Yulia Medvedeva
Assistant Professor of Computational Biology
Research Interests
Professor Medvedeva's research seeks to decode the complexities of life one cell at a time, harnessing the power of bulk and single-cell omics technologies for precision medicine. She focuses on single-cell RNA sequencing and ATAC sequencing to investigate dynamic gene activity and regulatory landscapes, while also studying long non-coding RNAs as key regulators of gene expression, splicing, and epigenetic memory. Professor Medvedeva's research integrates high-resolution omics datasets with genetic and phenotypic information to uncover molecular roots of diseases like type-2 diabetes, with a global perspective on biological variation, ancestry, and human health. Email
Prior to joining MBZUAI, Professor Medvedeva divided her time between leading two research groups: one in medical bioinformatics and omics technologies at the Endocrinology Research Center, and another in regulatory transcriptomics and epigenomics at the Research Center of Biotechnology, Russian Academy of Sciences. She also served as Head of the Laboratory of Bioinformatics for Cell Technologies and lectured at the Moscow Institute of Physics and Technology (MIPT).
- Postdoctoral Fellow, Institute of Personal and Predictive Medicine of Cancer, Spain
- Postdoctoral Fellow, Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia
- Ph.D. in Computational Molecular Biology, The Research Institute for Genetics and Selection of Industrial Microorganisms, Russia
- Bachelor with Honors, Bauman Moscow State Technical University, Russia
- Specialist Diploma, Lomonosov Moscow State University, Russia
- (2024) Pavel Akhtyamov, Layal Shaheen, Mikhail Raevskiy, Alexey Stupnikov, Yulia A Medvedeva, scATAC-seq preprocessing and imputation evaluation system for visualization, clustering and digital footprinting, Briefings in Bioinformatics, Volume 25, Issue 1, January 2024.
- (2023) Marakulina, Daria; Vorontsov, Ilya E; Kulakovskiy, Ivan V; Lennartsson, Andreas; Drabløs, Finn; Medvedeva, Yulia A; EpiFactors 2022: expansion and enhancement of a curated database of human epigenetic factors and complexes, Nucleic Acids Research, 51, D1, D564-D570.
- (2020) Ramilowski JA, et al., Functional annotation of human long noncoding RNAs via molecular phenotyping. Genome Res. 2020 Jul;30(7):1060-1072.
- (2020) Alessandro Bonetti, et al. RADICL-seq identifies general and cell type–specific principles of genome-wide RNA-chromatin interactions, Nature Communications, 11, 1, 1-14.
- (2019) Anna V Lioznova, Abdullah M Khamis, Artem V Artemov, Elizaveta Besedina, Vasily Ramensky, Vladimir B Bajic, Ivan V Kulakovskiy, Yulia A Medvedeva. CpG traffic lights are markers of regulatory regions in human genome. BMC Genomics, 20 (1), 102.
- (2017) de Rie D, et al., An integrated expression atlas of miRNAs and their promoters in human and mouse. Nat Biotechnol. 2017 Sep;35(9):872-878.
- (2017) Hon CC, et al., An atlas of human long non-coding RNAs with accurate 5' ends. Nature. 2017 Mar 9;543(7644):199-204.