Dr. Tom Chittenden, PhD, DPhil, PStat is a USIA Council Member of the United Sigma Intelligence Association (USIA).
With over 25 years of experimental and theoretical research experience, Dr. Chittenden is regarded as one of the world’s leading authorities on causal AI/SciML in the biomedical sciences. Dr. Chittenden is the Chief Scientific Officer and President of R&D for Bio-AI Health, where he serves as Global Head of Scientific Research Operations and leads the ongoing development and implementation of the Bio-AI Health PREDICT-X Drug Discovery and Development platform. Dr Chittenden 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 2019, He was named among the top 100 Pioneers in Drug Discovery and Advanced Healthcare by Deep Knowledge Analytics and Forbes Magazine. Dr. Chittenden is an Accredited Professional Statistician™ with the American Statistical Association, and he 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 and statistical machine learning from the University of Oxford.