Kerepesi, Csaba

Csaba Kerepesi graduated as a mathematician at the University of Szeged, and in 2012, he set himself the goal of using mathematics and computer science to defeat diseases. In 2013, he was admitted to the Doctoral School of Informatics, ELTE, Budapest, where he started working on bioinformatics research in Vince Grolmusz’s group. In 2018, he received his PhD with the thesis “Data Mining in Genomics, Metagenomics and Connectomics”. Since 2016, he has worked as a researcher in András Benczúr’s group at the Institute for Computer Science and Control (SZTAKI), Budapest, where he has applied machine learning methods to better understand the biology of aging. In the meantime, he worked for two years as a bioinformatician in Vadim Gladyshev’s lab at Harvard University, Boston, where he developed and applied aging clocks in various areas. Among others, he revealed a rejuvenation event in embryonic development and determined the starting point of aging (Kerepesi et al. 2021, Science Advances), showed that the demographically non-aging naked mole rat epigenetically ages (Kerepesi et al. 2022, Nature Communications) and contributed significantly to the development of the first single cell aging clock (Trapp, Kerepesi, Gladyshev 2021, Nature Aging). His scientific work has been recognised by several young investigator awards. He is a member of the Hungarian Society of Bioinformatics (MABIT), where he co-organises the society’s bioinformatics research seminar. Since 2022, he has been teaching his own course on “Bioinformatics aspects of aging and rejuvenation” at the Faculty of Informatics, ELTE, Budapest.