Dmitri Pervouchine

Biography

Dmitri is a skilled computational biologist, qualified statistician, and strong mathematician. He obtained the MSc in Mathematics (1996), MSc in Chemistry (1997) and PhD in Algebra, Logics, and Number Theory (1999) from the  Moscow State University (MSU). In 2002, he received MSc in Bioinformatics from Boston University, where he stayed until 2005 with the group of Dr Nancy Kopell at the Center for BioDynamics and the Department of Mathematics and Statistics to conduct his postdoctoral research in computational neuroscience. Then Dmitri returned to his alma mater to work with Dr Mikhail Gelfand and Dr Andrei Mironov on computational RNA structure prediction and comparative genomics, where he identified a group of ultra-conserved RNA structures that impact pre-mRNA splicing. In 2011, Dmitri joined the group of Dr Roderic Guigo at the Center for Genomic Regulation, Pompeu Fabra University (Barcelona), as a research associate to do research in transcriptomics and big data analysis. Dmitri also worked in close collaboration with ENCODE consortium where together with the colleagues he identified a group of genes with constrained expression across mammalian evolution and described distinct properties of this group of genes. Dmitri’s research career in computational biology encompasses computational neuroscience, structural bioinformatics of RNA, and the analysis of big transcriptomics data. One of the projects he is currently working on is the integrative analysis of transcription, alternative splicing, and chromatin modifications to shed some light on RNA-chromatin interactions and their role in post-transcriptional RNA processing. Dmitri has considerable international experience in teaching: he taught many diverse classes including calculus, probability and statistics, linear algebra, discrete math, stochastic calculus, polymer chemistry, applied statistics for biologists at Boston University, MSU, and the National Research University Higher School of Economics, Moscow.

Research Interest

Data-Intensive Biomedicine and Biotechnology