Rate My Professor Yulia Medvedeva

Professor Yulia Medvedeva is an Assistant Professor of Computational Biology at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Her research focuses on leveraging bulk and single-cell omics technologies, including single-cell RNA sequencing and ATAC sequencing, to investigate gene regulation, long non-coding RNAs, and epigenetic mechanisms for precision medicine applications. She integrates high-resolution omics data with genetic and phenotypic information to explore the molecular underpinnings of complex metabolic and aging-related diseases such as Type 2 Diabetes across diverse ancestry groups, with emphasis on cell-type-specific regulatory mechanisms and disease disparities.

Prior to joining MBZUAI, Professor Medvedeva led research groups in medical bioinformatics and omics technologies at the Endocrinology Research Center and in regulatory transcriptomics and epigenomics at the Research Center of Biotechnology of the 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. Her academic background includes a Ph.D. in Computational Molecular Biology from the Research Institute for Genetics and Selection of Industrial Microorganisms in Russia, a Bachelor with Honors from Bauman Moscow State Technical University, and a Specialist Diploma from Lomonosov Moscow State University. She completed postdoctoral fellowships at the Institute of Personal and Predictive Medicine of Cancer in Spain and the Computational Bioscience Research Center at King Abdullah University of Science and Technology. Key publications include works on scATAC-seq preprocessing (2024), EpiFactors database (2023), functional annotation of long non-coding RNAs (2020), RADICL-seq (2020), and CpG traffic lights (2019).