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artificial intelligence, generative adversarial networks, reinforcement learning, longevity, biogerontology, drug discovery, target identification, aging, fibrosis, sarcopenia, cancer, oncology
Hong Kong SAR China, United States, United Kingdom

Biography

Alex Zhavoronkov, PhD, is the founder and CEO of Insilico Medicine (insilico.com), a leading clinical-stage biotechnology company developing next-generation generative artificial intelligence and robotics platforms for drug discovery. He is also the founder and Chief Longevity Officer (CLO, an unpaid advisory position) of Deep Longevity, Inc, a spin-off of Insilico Medicine, developing a broad range of artificial intelligence-based biomarkers of aging and longevity servicing healthcare providers and the life insurance industry. In 2020 Deep Longevity was acquired by Endurance Longevity (HK: 0575).

Since 2014 he has invented critical technologies in the field of generative artificial intelligence and reinforcement learning (RL) for the generation of 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 the 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 $400 million in multiple rounds from expert investors, opened R&D centers in six countries or regions, partnered with multiple pharmaceutical, biotechnology, and academic institutions, nominated 18 preclinical candidates, and entered multiple human clinical trials with AI-discovered novel target and AI-designed novel molecule.

Prior to founding Insilico, he worked in senior roles at ATI Technologies (GPU company acquired by AMD in 2006), NeuroG Neuroinformatics, Biogerontology Research Foundation. Since 2012 he has published over 200 peer-reviewed research papers, and 2 books including "The Ageless Generation: How Biomedical Advances Will Transform the Global Economy" (Macmillan, 2013). He serves on the advisory or editorial boards of Trends in Molecular Medicine, Aging Research Reviews, Aging, Frontiers in Genetics, and founded and co-chairs the Annual Aging Research, Drug Discovery and AI Forum (9th annual in 2022), the world's largest event on aging in the pharmaceutical industry. He did his two bachelor degrees at Queen's University in Canada, masters in biotechnology at Johns Hopkins, and PhD in biophysics at MSU. He is the adjunct professor of artificial intelligence at the Buck Institute for Research on Aging.

website: www.LongevityPledge.org
Google Scholar: https://scholar.google.com/citations?hl=en&user=8Icccp0AAAAJ&view_op=list_works&sortby=pubdate
Forbes: https://www.forbes.com/sites/alexzhavoronkov/

Activities

Employment (2)

Insilico Medicine, Inc: Baltimore, MD, US

2013-11-02 to present | CEO (Research)
Employment
Source: Self-asserted source
Alex Zhavoronkov

Biogerontology Research Foundation: London, UK, GB

2008-06-01 to 2018 | Chief Science Officer (Research)
Employment
Source: Self-asserted source
Alex Zhavoronkov

Education and qualifications (4)

Moscow State University: Moscow, Moscow, RU

2004-09-01 to 2008-07-01 | PhD, biophysics (Physics Department)
Education
Source: Self-asserted source
Alex Zhavoronkov

Johns Hopkins University: Baltimore, MD, US

2005-09-01 to 2007-07-01 | MS in Biotechnology (Arts & Siciences)
Education
Source: Self-asserted source
Alex Zhavoronkov

Queen's University: Kingston, ON, CA

1997-09-01 to 2001-07-01 | BSc (Computer Science) (Arts & Science)
Education
Source: Self-asserted source
Alex Zhavoronkov

Queen's University: Kingston, ON, CA

1997-09-01 to 2001-07-01 | BComm (SoB)
Education
Source: Self-asserted source
Alex Zhavoronkov

Peer review (42 reviews for 19 publications/grants)

Review activity for ACS medicinal chemistry letters. (1)
Review activity for ACS omega. (1)
Review activity for Ageing research reviews. (2)
Review activity for Aging cell. (1)
Review activity for Artificial intelligence review. (1)
Review activity for Drug discovery today. (3)
Review activity for F1000Research. (1)
Review activity for Interdisciplinary sciences: computational life sciences. (1)
Review activity for Journal of chemical information and modeling. (8)
Review activity for Journal of cheminformatics. (1)
Review activity for Journal of medicinal chemistry. (3)
Review activity for Med. (1)
Review activity for Molecular pharmaceutics. (3)
Review activity for Nature (1)
Review activity for Nature aging. (6)
Review activity for Nature biotechnology. (1)
Review activity for Nature communications (3)
Review activity for Nature reviews. (2)
Review activity for npj aging and mechanisms of disease. (2)