Nikolay Oskolkov

Nikolay Oskolkov is a bioinformatician whose work sits at the intersection of statistical analysis, machine learning, and biological data science. He earned his PhD in Theoretical Physics in 2007 (Moscow State University and the University of Ulm) and transitioned to Computational Biology and Life Sciences in 2011.

Since moving into the life sciences, Dr. Oskolkov has worked across a broad range of fields, including medical genetics, diabetes research, cell biology, and evolutionary biology. At Lund University, he conducted computational biology analyses before joining NBIS / SciLifeLab in 2016, where he further expanded his work in cell and evolutionary biology. He currently leads the Metabolic Research Group, focusing on the development of machine-learning and multi-omics methods for drug discovery.

His research interests center on the application of mathematical statistics and machine learning to biological and biomedical data, with expertise spanning genomics, transcriptomics, microbiome analysis, ancient and environmental DNA, single-cell data analysis, metagenomics, population genetics, precision medicine, and multi-omics integration.

In addition to research, Dr. Oskolkov has extensive teaching experience and has led multiple courses in biological data analysis. His teaching style combines clear presentations, live coding, and whiteboard-based mathematical derivations, making advanced analytical concepts accessible to diverse audiences.