The emergence of intelligent software - studied under the banner of Artificial Intelligence (AI) and Machine Learning (ML) - has accelerated the pace of innovation, enabling the healthcare and biotech sectors to take on some of their biggest challenges. Our experienced panel of experts from across the AI/ML healthcare and biotech fields will discuss the role that technology will have on healthcare reform and its potential for the future.
Janet Matsen, Data scientist and Biologist, Zymergen
Janet’s life goal is to use machine learning to efficiently design microbes that produce renewable chemicals. Trained as a Chemical Engineer (BS from UC Berkeley, PhD from University of Washington with the Advance Data Science Option), she brings together knowledge of biochemistry, industrial biotechnology, and data science to accelerate the rate at which we can improve engineered microbes. Her work at Zymergen involves developing machine learning algorithms and software to predict which genetic edits will result in more productive microbes, allowing the improvement of organisms more rapidly.
Lara Mangravite, President, Sage Bionetworks
A strong proponent of open-access, collaborative science as a mechanism to speed intellectual progress. By training, Lara is a genomic researcher with a biological background in metabolic disease and pharmaceutics. By experience Lara is a leader of cross-disciplinary teams in genomic and mobile-based health research. In her current role, Lara leads Sage Bionetworks, a non-profit research organization working to redefine how complex biological data is gathered, shared, and used, redefining it through open systems, incentives, and norms.
Ranjani Ramamurthy, principal MD scientist, Healthcare NExT, Microsoft Research
Ranjani graduated with an MD from the University of Washington School of Medicine and has graduate degrees in Computer Sciences and Electrical Engineering from the University of Wisconsin-Madison. She worked for more than a decade in Computer Sciences: as an engineer/manager at Microsoft and as a Research Scientist at Cornell University/Xerox PARC. Now at Microsoft research, her background as a computer scientist, a software engineer, and most recently an MD, uniquely positions her to understand the scientific and practical aspects of both medicine and technology.
Crystal Humphries, Data Geneticist and ML, Zymergen
Crystal is a data scientist with a PhD in Human Genomics. After spending over 7 years analyzing large data sets using a range of tools including Perl, Python, R, and SQL, she now works at Zymergen using machine learning to find the best combination of genetic mutations to optimize microbe and yeast production.
Carly Strasser, Director of Academic Alliances and Data Strategy, Fred Hutchinson Cancer Research Center
Carly is the Director of Academic Alliances and Data Strategy at the Fred Hutchinson Cancer Research Center, where she develops partnerships with academic and non-profit research organizations in support of Hutch Data Commonwealth initiatives. Carly was previously a program officer at the Gordon and Betty Moore Foundation, focused on funding and promoting academic data science. While at Moore, Carly led the implementation of an open access policy for grantees. She received a B.A. in Marine Science and a Ph.D. in Biological Oceanography from the MIT/WHOI Joint Program.
* - Walk-ins will be accepted at the door until event capacity is reached.
6.00 p.m. Doors Open
6.20 p.m. WIB introductions and Committee Spotlight
6.30 p.m. Speaker Introductions
6.45 p.m. Panel Discussion
7.45 p.m. End Panel
8.30 p.m. Doors Close
Early Bird Pricing Through October 10, 2018: $15
Regular Pricing Starting October 11, 2018: $20
Early Bird Pricing Through October 10, 2018: $45
Regular Pricing Starting October 11, 2018: $50
Special Pricing for Guests
When registering, members can register guests at member price
Street parking is available on the blocks surrounding the venue.
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