Deep Learning in Biomedicine and Genomics
from Monday, December 4, 2017 8:30PM to Monday, December 4, 2017 10:30PM
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PROGRAM 6:30 - 7:00 PM Networking & Refreshments7:00 - 8:00 PM Talk8:00 - 8:30 PM Q&A Speaker: Mark DePristo, Head of Deep Learning for Genetics and Genomics at Google Title: Deep Learning in Biomedicine and Genomics: An Introduction and Applications to Next-generation Sequencing and Disease Diagnostics Abstract: We will review the history and taxonomy of machine learning and artificial intelligence We will introduce deep learning, covering both what it is and why its so exciting. We will review a highlight a few deep learning applications to biomedical problems across the field We will do a deep dive into three recent deep learning applications from Google Brain: Detection of cancer cells in pathology images Detection of diabetic retinopathy from fundus images of the eye Calling SNP and indel variants in next-generation sequencing data Speaker Bio: I'm Mark DePristo [LinkedIn], a Google software engineer since 2015. I lead the Google Brain Genomics team where we work on advancing the capabilities and applications of deep learning tech in TensorFlow for genomics problems. Before joining Google I was Vice President of Informatics at SynapDx, a Google Ventures-backed startup developing a blood-based test for Autism. And before that I was Co-Director of Medical and Population Genetics at the Broad Institute where I created and led the ~10 person team that developed the GATK, the dominant software for processing next-generation DNA sequencing data. I have an BA in Computer Science and Math from Northwestern, a PhD in Biochemistry from University of Cambridge where I was a Marshall fellow, and finally postdoc'd at Harvard to study antibiotic resistance evolution. My academic articles are widely published with more than 28,000 citations. Admission Fee: Open to all to attend (Online registration is needed. If you did not register, seating is not guaranteed.) IEEE CIS members - free Students - free IEEE (non-CIS) members - $5 donation Non-members - $5 pay at the door You do not need to be an IEEE member to attend!
2900 Semiconductor Dr, Texas Instrument Building E
2900 Semiconductor Drive Santa Clara CA UShttps://www.eventbrite.com/e/deep-learning-in-biomedicine-and-genomics-tickets-38052364647?aff=ebapi
Type: Eventbrite