Katherine Ratliff
Physical Scientist, Principal Investigator
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolKatherine Ratliff is a Principal Investigator and physical scientist at the U.S. EPA with 11 years of experience translating interdisciplinary research into practical solutions for public health and environmental protection. She leads nationally recognized programs on airborne pathogen control and air-cleaning technologies—shaping engineering standards, test methods, and tools used by government, industry, and academia. Katherine combines hands-on lab, field, and modeling expertise (including open-source contributions to environmental modeling like pyswmm) with advanced data science skills to synthesize complex datasets into actionable guidance. An award-winning communicator, she routinely briefs diverse stakeholders and convenes cross-sector teams to tackle high-priority contamination and biosecurity challenges. Colleagues know her for pivoting rapidly to emerging threats while maintaining deep technical rigor grounded in a Ph.D. in Earth and Ocean Sciences.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Earth and Ocean Sciences, Doctor of Philosophy (Ph.D.), Earth and Ocean Sciences at Duke UniversityBachelor's Degree with Highest Honors, Earth and Environmental Science, Bachelor's Degree with Highest Honors, Earth and Environmental Science at Vanderbilt University
Github Skills (5)
ctypes10
python10
apidoc9
api9
unit-testing9
Programming languages (3)
Github contributions (5)
pyswmm/pyswmm
Oct 2017 - Aug 2020
Python Wrappers for SWMM
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 1 review, 99 commits in 2 years 9 months
Contributions summary:Katherine primarily contributed to the development of the `pyswmm` library, focusing on extending the API to provide access to subcatchment surface buildup and ponded pollutant concentration data. Their work involved modifying the `swmm5.py`, `subcatchments.py` and `toolkitapi.py` files to incorporate new functions and properties to retrieve and manage pollutant-related data. The user also added unit tests to validate the new functionalities.
hydraulic-modelingpythonswmm5stormwaterswmm
katmratliff/parsivel-data
May 2018 - Jun 2020
Contributions:16 commits, 10 pushes, 1 branch in 2 years
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.