Sergey Napelenok
Physical Scientist at US Environmental Protection Agency (EPA)
Durham, North Carolina, United States
Summary
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Senior🎓
Top SchoolSergey Napelenok is a physical scientist with eight years of professional experience at the U.S. EPA developing and evaluating photochemical air quality models to unravel the formation and fate of pollutants. He blends deep academic training (Ph.D. in Environmental Engineering from Georgia Tech) with hands-on model development, publicly releasing components for the widely used Community Multiscale Air Quality (CMAQ) system such as DDM-3D and ISAM. His work spans sensitivity and uncertainty analysis, satellite and ground observation integration, emission inventory development, and advanced SOA and VOC reactivity modeling. On GitHub he contributes to the core CMAQ codebase—updating Fortran aerosol and cloud chemistry modules—demonstrating a focus on improving underlying physics and chemistry algorithms for a prominent regulatory model. Based in Durham, NC, Sergey pairs research rigor with practical tooling that informs regional source apportionment and policy-relevant air quality decisions.
8 years of coding experience
6 years of employment as a software developer
Ph.D., Environmental Engineering, Ph.D., Environmental Engineering at Georgia Institute of TechnologyB.S., Civil Engineering, B.S., Civil Engineering at Washington State University
Github Skills (7)
fortran10
chemistry10
atmosphere10
scientific-computing10
modeling10
cmac10
algorithms9
Programming languages (1)
Github contributions (3)
USEPA/CMAQ
Jul 2017 - Sep 2022
Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) which helps in conducting air quality model simulations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:79 commits, 5 PRs, 5 pushes in 5 years 2 months
Contributions summary:Sergey primarily contributed to the Community Multiscale Air Quality Model (CMAQ) code, specifically focusing on updating and modifying Fortran files related to aerosol and cloud chemistry processes. Their changes included updating existing modules, adding conditional statements, and reverting code changes to previous versions. This indicates a focus on maintaining and improving the model's underlying physics and chemistry algorithms.
atmosphereepamodeling-toolbase-codeclimate-science
sergeynk/CMAQ
May 2023 - Aug 2024
Code base for the U.S. EPA’s Community Multiscale Air Quality Model (CMAQ). For additional background on CMAQ please visit: www.epa.gov/CMAQ
Contributions:3 branches in 1 year 3 months
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