PROGRAM

6:30 - 7:00 PM Networking & Refreshments
7:00 - 8:00 PM Talk
8:00 - 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!