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Ryan May

UCAR/Unidata

Employment

  • Software Engineer, Unidata/University Corporation for Atmospheric Research, 2014-Current
  • Software Engineer, Enterprise Electronics Corporation, 2009-2013
  • Graduate Research Assistant, University of Oklahoma School of Meteorology, 2003-2010

Open Source Work

  • Maintainer for MetPy and siphon
  • Committer for @matplotlib
  • Contributed to numpy, scipy, cartopy, pint

Education

  • School of Meteorology, University of Oklahoma, Norman, OK
    • Ph.D., Meteorology, 2014
      • Advisor: Dr. Michael Biggerstaff
    • M.S., Meteorology, 2005
      • Advisor: Dr. Michael Biggerstaff
    • B.S., Meteorology, 2003

Peer-Reviewed Publications

  • Ansari, S., S. Del Greco, E. Kearns, O. Brown, S. Wilkins, M. Ramamurthy, J. Weber, R. May, J. Sundwall, J. Layton, A. Gold, A. Pasch, and V. Lakshmanan, 2018: Unlocking the potential of NEXRAD data through NOAA's Big Data Partnership. Bull. Amer. Meteor. Soc., 99, 189-204 doi:10.1175/BAMS-D-16-0021.1.
  • Cao, Q., G. Zhang, R. D. Palmer, M. Knight, R. May, and R. J. Stafford, 2012: Spectrum-Time Estimation and Processing (STEP) for Improving Weather Radar Data Quality. IEEE Trans. Geo. Rem. Sens., 50, 4670-4683.doi:10.1109/TGRS.2012.2190608
  • R. M. May, M. I. Biggerstaff, and M. Xue, 2007: A Doppler Radar Emulator with an Application to the Detectability of Tornadic Signatures, J. Atmos. Oceanic Tech., 24, 1973-1996, doi:10.1175/2007JTECHA882.1

Conference Presentations

Teaching

Grants

  • NSF-1740315, SI2-SSE: MetPy - A Python GEMPAK Replacement for Meteorological Data Analysis, Principal Investigator, September 2017-August 2020.
  • NSF-1740633, Collaborative Proposal: EarthCube Integration: Pangeo: An Open Source Big Data Climate Science Platform, Co-Principal Investigator, September 2017-August 2020.

Interests

My background and degrees are in meteorology, with a focus on weather radar algorithms and signal processing. Much of my open source contributions have been directed at making it easier to use the Python tools work better for use in meteorological analysis. Besides this, I'm interested in data visualization, signal processing, and machine learning--basically anything to help extract additional useful information from data.

Primary Languages

  • Python
  • C/C++
  • Java