Job title: Founder & Chief Executive Officer
Alex Zhavoronkov, PhD, is the founder and CEO of Insilico Medicine (insilico.com), a leader in next-generation artificial intelligence technologies for drug discovery, biomarker development. He is also the founder and CEO of Deep Longevity, Inc, a global company developing a broad range of artificial intelligence-based biomarkers of aging and longevity. Since 2015 he invented critical technologies in the field of generative adversarial networks (GANs) and reinforcement learning (RL) for generation of the novel molecular structures with the desired properties and generation of synthetic biological and patient data. He also pioneered the applications of deep learning technologies for prediction of human biological age using multiple data types, transfer learning from aging into disease, target identification, and signaling pathway modeling. Under his leadership Insilico raised over $50 million in multiple rounds from expert investors, opened R&D centers in 6 countries and regions, and partnered with multiple pharmaceutical, biotechnology, and academic institutions. Prior to founding Insilico, he worked in senior roles at ATI Technologies (acquired by AMD in 2006), NeuroG Neuroinformatics, Biogerontology Research Foundation. Since 2012 he published over 130 peer-reviewed research papers, and 2 books including “The Ageless Generation: How Biomedical Advances Will Transform the Global Economy” (Palgrave Macmillan, 2013). He serves on the editorial boards of Aging Research Reviews, Aging, Trends in Molecular Medicine, Frontiers in Genetics, and co-chairs the Annual Aging Research, Drug Discovery and AI Forum (7th annual in 2020) at Basel Life, one of Europe’s largest industry events in drug discovery. He is the adjunct professor of artificial intelligence at the Buck Institute for Research on Aging.
The Interplay of Aging & Fibrosis: AI-Powered Target Discovery & Validation of Novel Pan-Fibrotic Protein Targets 4:20 pm
Discuss senofibrosis and fibrosenescenc: The role of fibrosis in aging Examine the discovery of novel targets in fibrosis Explore generation of novel molecules for pan-fibrotic targets Analyze in-vivo and in-vitro validation of novel pan-fibroticsRead more
day: Day One