Dan Starr

    • Berkeley,CA, United States
  • Work Software Engineer at UC Berkeley
  • Website sites.google.com/site/dstarr1/
  • About Primary software engineer for Berkeley’s Center for Time Domain Informatics (http://cftd.info/). Also primary developer for Berkeley’s real-time "Transients Classification Pipeline". This project incorporates machine learning to identify and classify science from the PTF telescope’s nightly datastream. This primarily Python based pipeline runs parallelized over 20-120 cores, uses a spatially indexed MySQL database approaching 1 billion rows, and classifies around 1 million timeseries datasets per night in order identify science which should be followed up with other telescopes. This project combines a variety of ML classifiers, is deployed on a beowulf cluster as well as other machines, and

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