Born in Quantico, Virginia in 1962.
Tom Chittenden is a Systems Biologist and Founder of the Complex Biological Systems Alliance, a global scientific think tank dedicated to furthering scientific understanding of biological complexity and the nature and origins of human disease. Tom holds an academic appointment as a Research Scholar at the Ronin Institute. Tom also serves as a Senior Biostatistics Consultant for the Research Computing Group at the Harvard Medical School and a Scientific Advisor for the Pathway Genomics Corporation. He is a Research Fellow at the Vertex Society, an Associate Member of the International Society for Philosophical Enquiry, and a Member of the New England Complex Systems Institute. Tom holds a PhD in Molecular Cell Biology and Biotechnology from Virginia Tech and a DPhil in Computational Biology and Bioinformatics from the University of Oxford. His multidisciplinary postdoctoral training includes experimental investigations in Molecular and Cellular Cardiology at the Dartmouth Medical School and Integrative Functional Genomics at the Dana-Farber Cancer Institute and the Harvard School of Public Health.
A major focus of Tom’s research involves development and application of integrated systems biology models to investigate evolutionary factors of human disease. His overall objective is to understand how genetic variation and somatic mutation regulate aberrant gene activity and subsequent disease biology. To this end, Tom spent a year as a Visiting Research Scientist in the Department of Statistics at the University of Oxford, where he formulated a general strategy for constructing prediction models by integrating a priori biological knowledge with multiple types of high-throughput genomic data. This approach improves performance of established classification methods via enhanced semantic interoperability for mapping between multiple biomedical ontologies and the subsequent identification of genes more highly predictive of disease etiology.
Tom has discovered fundamental links between glucose metabolism, neovascularization, cell cycle regulation, cardiovascular disease and cancer. These findings frame the foundation for his Inherent Molecular Thread Theory, a unique theoretical model connecting the three domains of cellular life forms on the planet. He is currently working to decipher an elemental molecular code regulating patterns of biological complexity in order to better understand human disease initiation and progression.
Genetic Medicine, Molecular Cell Biology, Cardiovascular Disease, Cancer, Angiogenesis, Biotechnology, Functional Genomics, Evolutionary Biology, Complexity Theory, Systems Biology, Physics, Philosophy, Mathematics, and Statistics.
Associate Member ISPE, Member Epimetheus Society, Member Oxford and Cambridge Society of New England, Member International Society for Computational Biology, Member New England Complex Systems Institute.