2022 Fellow – Alexander Fedintsev

Alexander Fedintsev is a scientist and machine learning engineer. His scientific background lies in the field of bioinformatics, statistics, and machine learning. Alexander earned his M.S. in computer science from the National Research University “Moscow Power EngineeringInstitute”. Alexander worked in the Institute of Antimicrobial Chemotherapy as a bioinformatician. He also collaborated with professor Alexey Moskalev’s lab on aging research. After quitting academia, Alexander switched to machine learning engineering however he continued collaborating on aging research with professor Moskalev. He developed a highly accurate non-invasive biomarker of aging based on markers of the cardiovascular system. Now his research interest is mainly focused on the role of extracellular matrix (ECM) in the aging process. He and professor Moskalev recently suggested treating non-enzymatic modifications of long-living proteins (mostly, in the ECM) as a 10th hallmark of aging.