Talk: Network Science Talk Series: A role for network science in artificial intelligence


Monday, Oct 16th 2017 at 3 pm
Georgian Room, IMU


Please join us for the kickoff for this year’s Network Science Talk Series, featuring Jason Moore, Director of the Institute for Biomedical Informatics at the University of Pennsylvania, also head of the Computational Genetics Lab at the Perelman School of Medicine.

 

Monday. Oct. 15 at 3 p.m.

Georgian Room, IMU

Streaming

“A role for network science in artificial intelligence.”

 

 

BIO: Jason Moore is the Edward Rose Professor of Informatics and Director of the Penn Institute for Biomedical Informatics. He also serves as Senior Associate Dean for Informatics and Chief of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics. He came to Penn in 2015 from Dartmouth where he was Director of the Institute for Quantitative Biomedical Sciences. While at Dartmouth he founded their bioinformatics core facility and built the university’s first campus-wide high-performance computer system. Prior to Dartmouth he served as Director of the Advanced Computing Center for Research and Education at Vanderbilt University where he launched their first high-performance computer. He has a Ph.D. in Human Genetics and an M.S. in Applied Statistics from the University of Michigan. He leads an active NIH-funded research program focused on the development of artificial intelligence and machine learning algorithms for the analysis of complex biomedical data. One application area is understanding how demographic, genetic, physiologic, and environmental factors interact to influence risk of common diseases such as cancer, cardiovascular disease, and neuropsychiatric diseases. He is the author of the widely used multifactor dimensionality reduction (MDR) method and software that is the leading resource for discovering genetic interactions.  In addition to an active research program, Dr. Moore is committed to undergraduate and graduate education. He has trained more than 75 students and postdocs and has founded several interdisciplinary training programs. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American College of Medical Informatics (ACMI), an elected fellow of the American Statistical Association (ASA), and was selected as a Kavli fellow of the National Academy of Sciences. He is currently a Penn Fellow and serves as Editor-in-Chief of the journal BioData Mining.