Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Health conference sessions

5:25pm–6:05pm Wednesday, 09/30/2015
Ian Eslick (VitalLabs)
Capturing and integrating device-based and other health data for research is frustratingly difficult. We explain the open source technology frame​work for capturing and routing device-based health data for use by healthcare providers and for access, via a trusted analytic container, to ​​researchers we developed, working with O’Reilly Media and support from the Robert Wood Johnson Foundation.​
1:30pm–2:00pm Tuesday, 09/29/2015
Tanzeem Choudhury (Cornell and HealthRhythms)
How ubiquitous computing is transforming the treatment of mental health disorders
2:05pm–2:45pm Wednesday, 09/30/2015
Timothy Danford (Tamr, Inc.)
A revolution in DNA sequencing technology has led to exponential growth in the genomics data available to discover new drugs, diagnose patients, and understand the fundamental biology of human disease. Existing bioinformatics tools will have difficulty scaling to meet the challenges posed by this growth. Learn about next-generation tools for bioinformatics and genomics using Spark and Parquet.
1:15pm–1:55pm Wednesday, 09/30/2015
Aaron Kimball (Zymergen, Inc.)
Slides:   1-PDF 
Zymergen has industrialized the process of genome engineering to build microbes that produce chemicals at scale. High-throughput microbe development is driven by integrating machine learning and open source software for complex data storage, search, and bioinformatics. See how we built this futuristic vision for synthetic biology, and learn how NoSQL can power massive scale experimentation.
1:15pm–1:55pm Thursday, 10/01/2015
Joe Klobusicky (Geisinger Health System), Ali Habib (Northwestern Feinberg School of Medicine), Ekaterina Volkova (Cornell University)
Pharmaceutical companies follow a highly structured process for the approval of medications. From a financial viewpoint, the binary occasion of a drug’s passage offers a rare scientific opportunity: a well-defined, recurrent, and critical event spanning over multiple companies. We will show that integrating multiple datatypes uncovers how drug passage influences the market, and vice versa.