CV

Education

Ph.D. in Meteorology, University of Oklahoma, 2016
- Advisor: Dr. Amy McGovern
- Dissertation Title: Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
M.S. in Meteorology, University of Oklahoma, 2012
- Advisors: Dr. Amy McGovern and Dr. Ming Xue
- Thesis Title: Machien Learning Enhancement of Storm Scale Ensemble Precipitation Forecasts
B.S. in Meteorology, University of Oklahoma, 2010
- Summa cum Laude
- Minors: Computer Science, Mathematics

2016-present, Postdoctoral Fellow, Advanced Study Program, National Center for Atmospheric Research, Boulder, CO.
2014-16, Graduate Research Assistant, Research Applications Lab, National Center for Atmospheric Research, Boulder, CO.
2010-16, Graduate Research Assistant, School of Meteorology, University of Oklahoma, Norman, OK.
2012-14, Consultant, Meso, Inc., Troy, NY.

2016-18, “Development and Implementation of Probabilistic Hail Forecast Products using Multi-Moment Microphysics and Machine Learning Algorithms”, NOAA Joint Technology Transfer Initiative, $335K, 10/2016-9/2018, Collaborator.
2016-18, Advanced Study Program Postdoctoral Fellowship, National Center for Atmospheric Research, $135K, 9/2016-9/2018.
2014-15, Advanced Study Program Graduate Visitor Program, National Center for Atmospheric Research, $10K, 7/2014-7/2015.
2011-14, Graduate Research Fellowship, National Science Foundation, $96K, 5/2011-5/2014.

2016, Scientific and Technical Achievement Award, NCAR Research Applications Lab
2016, Best Oral Presentation, AMS 14th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
2015, Second Place, National Climate Game Jam
2012, First Place, AMS Wind Power Prediction Contest
2010, Letzeiser Honor List for Top Senior Men, University of Oklahoma
2009, Outstanding Senior, College of Atmospheric and Geographic Sciences, University of Oklahoma
2008, Hollings Scholarship, NOAA

2017, Invited Lecturer, MTR 3410 Weather Analysis Techniques, Metropolitan State University
2016, Invited Lecturer, GRAD 5203 Earth Observation for Science, Society and Sustainability Data Analytics Class, University of Oklahoma
2015, Invited Lecturer, CS 4033/5033 Machine Learning Class, University of Oklahoma
2015, Invited Lecturer, Unidata Users Workshop
2014, Teaching Assistant, The Power and Elegance of Computational Thinking
2010-12, Instructor, Oklahoma Weather Lab Python Tutorial Series

Programming Languages: Proficient: Python; Experience: R, Java, C++, Javascript, PHP, MATLAB, C-Shell, Fortran, SQL\
Software Packages: Tensorflow, Keras, scikit-learn, WRF, pandas, matplotlib, Jupyter, IDV, GEMPAK, Google Maps API, Weka\
Code Management: Git, Github, Gitlab, and SVN