Tom Chittenden, PhD, DPhil, PStat is a member of the United Giga Society.
Dr. Tom Chittenden is Chief Technology Officer for HiberCell. He is also the President and Founding Director of the Genuity AI Research Institute, where he is responsible for global AI/ML R&D for HiberCell.
Tom is an Omega Society Fellow and an Accredited Professional Statistician™ with the American Statistical Association. He holds faculty appointments at Boston Children’s Hospital and the Harvard Medical School. His research has been published in top-tier scientific journals, including featured articles in Nature and Science. In 2021, he was named the Business Intelligence Group (BIG) AI Excellence Award Winner. In 2019, Forbes named him among the top 100 AI Pioneers in Drug Discovery and Advanced Healthcare. Tom is regarded as one of the world’s leading authorities on AI and causal statistical machine learning in the biomedical sciences.
Tom has been recognized as one of the world’s top minds in the Global Genius Directory and is the 2021 recipient of the Global Genius Directory Award in recognition of his contribution to cognitive science and artificial intelligence. In August 2021, Tom was appointed as President of the United Sigma Intelligence Association (USIA), an international think tank that supports intellectually gifted individuals and aims to promote important global causes and solve major global problems.
Tom holds a PhD in Molecular Cell Biology and Biotechnology from Virginia Tech and a DPhil in Computational Statistics from the University of Oxford. His multidisciplinary postdoctoral training includes experimental investigations in Molecular and Cellular Cardiology from the Dartmouth Medical School; Biostatistics and Computational Biology from the Dana‐Farber Cancer Institute and the Harvard School of Public Health; and Computational Statistics, Statistical Methodology, and Statistical Machine Learning from the University of Oxford.
Score: ≥ IQ 190 (SD15)
Test Name: Extreme Sigma Test – Form A
Test Author: Bryan Kim
Raw Score: 31/31