Haipeng Lin is a postdoctoral fellow and computational atmospheric scientist with 13 years of experience building and integrating chemistry-climate and meteorology-chemistry models. During a PhD at Harvard he developed models and investigated background influences on East Asia air quality, combining rigorous science with practical software engineering. He is a seasoned back-end developer and system architect on the widely used GEOS-Chem codebase, where he refactored core routines, fixed memory leaks, and enabled smoother coupling with external systems like WRF. Based in Cambridge, MA, he blends deep physics training from Peking University with advanced engineering science at Harvard to deliver robust, modular modeling systems. Notably, his work improves both scientific fidelity and interoperability of community climate models, making them easier to embed in broader Earth system workflows.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering Science, Doctor of Philosophy - PhD, Engineering Science at Harvard University
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Peking University
GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).
Role in this project:
Back-end Developer & System Architect
Contributions:3 reviews, 63 commits, 64 PRs in 4 years 6 months
Contributions summary:Haipeng primarily focuses on refactoring and improving the GEOS-Chem model's core functionality, particularly around memory management and integration with external models. They addressed memory leak issues by fixing deallocations, and also introduced features to allow the model to interface with other systems, such as WRF, by adding pre-processor flags and allowing pressure and grid parameters from external sources. Additionally, the user worked on improving the overall design of the system by moving module variables to different derived types for a more robust, modular design, particularly to ease integration with WRF.
Contributions:16 commits, 16 pushes, 1 branch in 2 years 8 months
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