Head Of Department at University of Illinois Urbana-Champaign
Champaign, Illinois, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Steve Nesbitt is an atmospheric scientist and department head at the University of Illinois with over three decades of expertise in clouds, precipitation, hydrometeorology, and remote sensing, now leading interdisciplinary research in data-driven analysis, machine learning, and predictive modeling. He has a strong track record securing and managing NASA, DOE, NOAA, and NSF-funded projects and has led major international field campaigns such as RELAMPAGO and CACTI while contributing to flagship satellite missions like TRMM and GPM. As an academic leader and educator he has risen from assistant professor to department head and holds a visiting and joint appointment profile spanning national labs and international institutions. He combines deep observational and instrumentation knowledge with hands-on software/data work—contributing to open-source tools like Py-ART to improve radar data ingestion and visualization. A Fellow of the American Meteorological Society and multiple award recipient, he focuses on deploying novel observational and modeling technologies to advance weather and climate risk assessment and actionable applications.
13 years of coding experience
23 years of employment as a software developer
The University of Utah
Master of Science (M.S.) Meteorology, Master of Science (M.S.) Meteorology at Texas A&M University
Bachelor of Science (B.S.) Meteorology, Bachelor of Science (B.S.) Meteorology at State University of New York at Oswego
The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.
Role in this project:
Back-end Developer & Data Scientist
Contributions:10 commits, 7 PRs, 53 comments in 2 years 4 months
Contributions summary:Steve primarily contributed to the `pyart` repository by adding functionality to read and process weather radar data. Specifically, the user implemented a reader for D3R GCPEX netCDF files and a SINARAME_H5 file reader. This work involved parsing data, creating radar objects, and mapping data fields, enhancing Py-ART's ability to handle diverse radar data formats. The commits also included modifications to plotting utilities, demonstrating a focus on data visualization and usability of radar data.
Repository for documentation for computing within the Department of Climate, Meteorology & Atmospheric Sciences at the University of Illinois
Contributions:2 reviews, 4 PRs, 4 pushes in 2 years 4 months
atmospheric-scienceuser-guides
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.