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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Friday, May 20 • 5:20pm - 6:20pm
Panel: Living Data

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The closing panel of Data By the Bay brings together the topics of the last day -- Life Sciences and UX, DataViz -- making connections to all the themes of the conference. How can we reeingineer our lives with data? What can we see to make our lives better, and how should we see it so we can act upon what we see? Come join the dicussion!

Moderators
avatar for Alexy Khrabrov

Alexy Khrabrov

Chief Scientist, Nitro/By the Bay
Chief Scientist at Nitro, founder and organizer, SF {Scala, Text, Spark, Reactive}, {Scala, Big Data Scala, Text, Data, ...} By the Bay.

Speakers
avatar for John St. John

John St. John

Co-founder, Bioinformatics Lead, Driver Group, L.L.C.
I am a co-founder, and bioinformatics lead engineer at Driver Group. We are leveraging an individual cancer patient's genomic data to provide that patient with the best therapeutic recommendations available. Additionally we use the data that we collect to bring the most promising new cancer therapies to market.
avatar for priya joseph

priya joseph

Data Czar, NuMedii
avatar for Jeff Lerman

Jeff Lerman

Staff Ontology Engineer, QIAGEN Silicon Valley (formerly Ingenuity Systems)
Biomedical ontology developer for eight years, focusing on knowledge models for diseases, gene products, and genetic variants. NLP projects include development of word-sense disambiguation approaches to identify genes discussed in biomedical publications, and ontology-leveraged scientific article classification by topic. Before QIAGEN, Jeff studied molecular biology at Princeton (Ph.D.), and did a postdoc in protein structure/function at U.C... Read More →
avatar for Daniella Perlroth

Daniella Perlroth

Chief Data Scientist, Lyra Health
Using data and technology in health care to improve access, quality and care. | Predicting quality, treatments, outcomes in health care. | Algorithms to recommend care options or providers based on a person's symptoms, conditions, needs.


Friday May 20, 2016 5:20pm - 6:20pm
Gardner

Attendees (13)