Top 1% — Elite
Joel D. Dudley
United States
124 H-Index
43,164 Citations
1,811 Total Impact
Overview
Joel D. Dudley is a ai & precision medicine specialist with an H-index of 124 at Mount Sinai (Faculty). Based in United States.
For Patients
- Research is cited 43K+ times by other doctors and scientists, indicating significant influence on medical research
- Currently at Mount Sinai in United States
Biography
Joel Dudley is currently Associate Professor of Genetics and Genomic Sciences and founding Director of the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai. In March, 2018 Dr. Dudley was named Executive Vice President for Precision Health for the Mount Sinai Health System (MSHS). In 2017 he was awarded an Endowed Professorship by Mount Sinai in Biomedical Data Science. Prior to Mount Sinai, he held positions as Co-founder and Director of Informatics at NuMedii, Inc. and Consulting Professor of Systems Medicine in the Department of Pediatrics at Stanford University School of Medicine. His work is focused at the nexus of -omics, digital health, artificial intelligence (AI), scientific wellness, and healthcare delivery. His work has been featured in the Wall Street Journal, Scientific American, MIT Technology Review, CNBC, and other popular media outlets. He was named in 2014 as one of the 100 most creative people in business by Fast Company magazine. He is co-author of the book Exploring Personal Genomics from Oxford University Press. Dr. Dudley received a BS in Microbiology from Arizona State University and an MS and PhD in Biomedical Informatics from Stanford University School of Medicine.
Affiliations & Institutions
Research Impact
10 Publications
43,164 Total Citations
10K+ Citation Milestone
Publication Timeline
Published In
Molecular Biology and EvolutionBriefings in BioinformaticsScientific ReportsCellBioinformatics
Key Publications
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
Deep learning for healthcare: review, opportunities and challenges
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes
Areas of Expertise
Medical Specialties
Media Archive