Aaron Hill
Assistant Professor at University of Oklahoma
Norman, Oklahoma, United States
Summary
👤
Senior🎓
Top SchoolAaron Hill is an assistant professor and machine-learning-focused atmospheric scientist with 11 years of experience applying data-driven methods to flood and severe weather forecasting. He leads development of the CSU Machine Learning Probabilities system, partnering with national and local forecast offices to improve communication of high-impact weather threats. His PhD work at Texas Tech advanced predictability of convection initiation via ensemble sensitivity analysis, observation targeting, and mesoscale data assimilation—skills he now translates into operationally relevant ML research. A prolific Python developer and contributor to MetPy (notably a reusable meteogram plotting tool), he blends open-source tooling with field-oriented research to deliver tools forecasters can use in real time. Based in Norman, OK, he focuses on science that directly improves operational forecasts and saves lives.
11 years of coding experience
10 years of employment as a software developer
MS, Atmospheric Sciences and Meteorology, MS, Atmospheric Sciences and Meteorology at Texas Tech UniversityBachelor of Science (BS), Atmospheric Sciences and Meteorology, 3.52, Bachelor of Science (BS), Atmospheric Sciences and Meteorology, 3.52 at University of Washington
Github Skills (11)
meteorology10
computation10
weather10
python10
plot10
scientific-computing10
matplotlib10
science9
atmosphere9
pandas8
numpy8
Programming languages (2)
Github contributions (5)
Unidata/MetPy
Feb 2017 - Feb 2017
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Role in this project:
Data Scientist
Data ScientistContributions:6 commits, 1 PR, 10 comments in 1 day
Contributions summary:Aaron primarily focused on developing a meteogram plotting tool within the MetPy library. They converted code from a notebook format to a Python script, improving readability and reusability. Key contributions include implementing plotting functions for wind speed and direction, temperature, dewpoint, relative humidity, and pressure. The user also refactored the code to read data from a CSV file and made modifications for calculating dewpoint using the metpy.calc library.
hodographmeteorologypythoncalculationsatmospheric-science
ahill818/ttuthesis_temp
Aug 2014 - Jul 2019
Contributions:27 commits, 15 pushes, 1 issue in 5 years
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