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Biomedicine and Big Data

Biomedicine and Big Data. Normal. Analyzing spatio -temporal patterns in biomedical data. Stiff. Wavy. My Research Group. Dr. Chakra Chennubhotla Ph.D. Computer Science University of Toronto. Shannon Quinn B.S. Computer Science Georgia Tech. Andrej Savol B.S . Applied Mathematics

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Biomedicine and Big Data

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  1. Biomedicine and Big Data Normal Analyzing spatio-temporal patterns in biomedical data Stiff Wavy

  2. My Research Group Dr. Chakra Chennubhotla Ph.D. Computer Science University of Toronto Shannon Quinn B.S. Computer Science Georgia Tech Andrej Savol B.S. Applied Mathematics University of Pittsburgh Luong Nguyen B.A. Mathematics Mt. Holyoke College Dan Spagnolo B.S. Engineering Swarthmore College

  3. Our Mission • High-throughput biomedical data analysis

  4. What’s Been Done

  5. Still To Do

  6. Specifically… Clustering!

  7. Requirements • Apache Spark • Scala • Python • Comfortable with linear algebra • Optional: django(Python web framework)

  8. Final Thoughts • Distributed computing • Open source development • Programming at scale • Large project management • Software engineering principles, tools • Biomedical context • Biological data is huge • Diagnostics: helping people

  9. Questions? Comments? Interested? • spq1@pitt.edu|| squinn@cmu.edu

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