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screen-shot-2016-10-13-at-9-39-19-amLearn how leading biomedical researchers are developing methods to bring about a next generation of medicine that leverages advances in diagnostics, wearables and digital health to enable new approaches to precision medicine and scientific wellness in this Research Computing Seminar Series event.

Moving from Precision Medicine to Next-Generation Healthcare
Presented by Joel Dudley, Associate Professor of Genetics and Genomic Sciences, Director of Biomedical Informatics at the Icahn School of Medicine, Mount Sinai

Tuesday, October 18, 2016
2–3 p.m.
Memorial Union (MU) Pima 230, Tempe campus [map]
Register to attend

About the speaker

Joel Dudley is a recognized leader in applying biomedical Big Data to healthcare and drug discovery. His work is focused on developing and applying advanced computational methods to integrate the digital universe of information to build better predictive models of disease and drug response.

Dudley is associate professor of genetics and genomic sciences and director of biomedical informatics at the Icahn School of Medicine at Mount Sinai, and directs the newly formed Institute for Next Generation Healthcare at Mount Sinai. He has served as co-founder and Director of Informatics at NuMedii, Inc., one of the first companies to apply Big Data to drug discovery.

Dudley has authored/co-­authored more than 80 publications. His research has been featured in the Wall Street Journal, Scientific American, Forbes, etc. and his recent work using a Big Data approach to identify sub-­types of Type 2 diabetes was recently highlighted by NIH Director Francis Collins as a significant advance in precision medicine. He was named as one of the 100 most creative people in business by Fast Company magazine in 2014. He holds an MS and PhD in Biomedical Informatics from Stanford University School of Medicine.

About ASU Research Computing

ASU Research Computing represents leading academic supercomputing capabilities — providing a high-performance computing environment, a high-end data intensive ecosystem (Big Data), a highly available 100 gigabit Internet2 connected network internal and external via Internet2 through an ESNET Science DMZ, large-scale data storage and elastic capacity to the public cloud.

Their mission is to eliminate boundaries to research computing by providing transformative advanced computing solutions in a cost-effective manner and to support the University’s mission and goals as they apply to research, education and public service.

The Research Computing Working Group considers and recommends resources, policies, plans, and capabilities that affect faculty research computing and scholarly activities.

For additional information about this series or ASU’s research computing resources, contact Marisa Brazil, Program Manager at marisa.brazil@asu.eduor visit

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