Current location:

 New York, NY

 Contact Daniela:

 Phone: n/a

 E-mail: n/a

 Daniela's Links:

 LinkedIn

 n/a

 Twitter

 n/a

  Daniela Huppenkothen

 Position:

 Moore-Sloan Data Science Fellow

 Department:

 n/a

 School:

 Courant Institute of Mathematical Sciences

 Institution:

 New York University

 Daniela knows about....

  • High-energy Astrophysics
  • Black Holes and Neutron Stars
  • Fourier Methods
  • Statistical Methods for Astronomical Time Series
  • applying recent advances in statistics and computer science to data from X-ray and gamma-ray telescopes

 Bibliography for Daniela:

  • http://cds.nyu.edu/people/
  • https://www.linkedin.com/pub/daniela-huppenkothen/7b/4a9/b4
  • http://www.huppenkothen.org/
  • http://www.huppenkothen.org/cv/4580697138

About the project:

ExpertNet is a tool developed by The Governance Lab for matching NYU's cutting-edge interdisciplinary research and applied research methodologies with the demand from external organizations, namely government agencies, to solve public problems.

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