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Name
Thomas W. Chittenden, PhD, DPhil, PStat
Title
Chief Data Science Officer, Genuity Science
Bio
Dr. Thomas Chittenden is Chief Data Science Officer and Founding Director of the Genuity Science Advanced Artificial Intelligence Research Laboratory. Dr. Chittenden is responsible for development and execution of our global AI/ML R&D strategy. This R&D initiative includes development of advanced deep learning, statistical machine learning and probabilistic programming strategies aimed at furthering scientific understanding of human disease initiation and progression, knowledge that can be directly applied in innovative products for better care and medicine in a range of disease areas.
Dr. Chittenden is an Omega Society Fellow with over 25 years of experimental and theoretical research experience. The principal focus of Dr. Chittenden’s work is the development and application of integrated systems biology models to investigate evolutionary factors of human disease. He is currently applying quantum information theory to decipher an elemental molecular code regulating patterns of biological complexity.
Dr. Chittenden’s work has been published in top-tier scientific journals, including featured articles in Nature and Science. In 2019, Dr. Chittenden was named among the top 100 AI Leaders in Drug Discovery and Advanced Healthcare. He is regarded as one of the world’s leading authorities on AI and causal statistical machine learning in precision medicine.
Dr. Chittenden is an Omega Society Fellow with over 25 years of experimental and theoretical research experience. The principal focus of Dr. Chittenden’s work is the development and application of integrated systems biology models to investigate evolutionary factors of human disease. He is currently applying quantum information theory to decipher an elemental molecular code regulating patterns of biological complexity.
Dr. Chittenden’s work has been published in top-tier scientific journals, including featured articles in Nature and Science. In 2019, Dr. Chittenden was named among the top 100 AI Leaders in Drug Discovery and Advanced Healthcare. He is regarded as one of the world’s leading authorities on AI and causal statistical machine learning in precision medicine.
