Edward Herskovits

Edward H. Herskovits, MD, PhD, is an Adjunct Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine. A board-certified radiologist and neuroradiologist, he specializes in image analysis, data mining, and Bayesian methods for multidimensional data analysis (including neuroimaging and genetic data). His work spans biostatistics, neuroinformatics, and clinical radiology.

• Education: BS in Biochemistry (UCLA, 1982), MD (UCLA, 1986), PhD in Medical Informatics (Stanford, 1991)

Dr. Herskovits has over 20 years of experience applying probability theory and information theory to data analysis. His research focuses on:

• Bayesian network algorithms
• Lesion-deficit analysis
• Longitudinal neuroimaging studies
• Autism spectrum disorder modeling
• Alzheimer's disease prediction

Scientific awards include the Richard S. Ross Clinician Scientist Award (1998). He has led NIH-funded projects such as:

• "Connectivity and Genetic Associations in Parkinson's Disease" (NIH R21 AG058118)
• "Machine Learning to Generate a Multivariate Model of Brain Injury in HIV Patients" (NIH R21 NS108811)
• "Spatially Oriented Database for Digital Brain Images" (NIH R01 AG013743, 1998-2013)