Isabelle Guyon, Ph.D.

Director of Artificial intelligence

Dr. Guyon is co-inventor of the support vector machine (SVM) algorithm, and SVM-RFE feature selection, two machine learning methods essential for scientific prediction in biomedical informatics. These methods have been referenced in more than 10,000 papers. She has authored a highly cited (>2,000 citations) seminal paper on feature selection and has co-authored several books and organized workshops and competitions on feature selection and causal discovery. Dr Guyon is among the most cited researchers in machine learning internationally, has developed original methods for biomedical informatics, and has applied them in ways that can significantly improve medical care. Dr. Guyon obtained an engineering diploma from the Ecole Superieure de Physique et Chimie Industrielles de Paris, Paris, in 1985, and a Ph.D. degree in Physical Sciences from the Universite Pierre et Marie Curie, Paris, in 1988. She joined AT&T Bell Labs Research, Homdel, NJ, in January 1989 where she was the Co-inventor of the SVM technology.

Team members

Stephen D. Barnhill, M.D.

Dr. Stephen D. Barnhill is a physician Fellowship trained in…

Anthony J. Hall, M.D.

Dr. Anthony Hall is a Neurosurgeon, Board Certified by the American…

Margaret Dingle Spence

Dr. Spence is a Consultant in Oncology & Palliative Medicine at the…

Herbert A. Fritsche, Ph.D.

Dr. Fritsche is a world renowned Clinical Chemist and was Professor of…

Rama Madyastha, M.D., Ph.D

Dr. Madyastha is a Board Certified Clinical Laboratory Scientist and…

Isabelle Guyon, Ph.D.

Dr. Guyon is co-inventor of the support vector machine (SVM)…

Priest Douglas Smith

Priest Douggie, a Jamaican, was born in Kinston, Jamaica and began…