Alison Appling
Data Scientist
Bethlehem, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolAlison Appling is a data scientist and ecologist with 11 years of experience applying machine learning to aquatic ecosystem problems, currently leading a team at the United States Geological Survey. She studies how natural processes and human activities shape physical and biogeochemical patterns in streams, lakes, wetlands, and floodplains, with applied focus on water temperature, ecosystem metabolism, and constituent loads. Her work blends rigorous, reproducible coding and model development with deep field-based insights from a PhD in ecology and multiple postdoctoral appointments. Notably, she has led software projects to improve solute flux estimation in rivers and translated high-resolution monitoring into novel inferences about ecosystem function. Based in Bethlehem, Pennsylvania, she brings a rare combination of hands-on field measurement, lab techniques, and production-ready ML for environmental prediction.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Ecology, Doctor of Philosophy (PhD), Ecology at Duke UniversityShort Course: Data Assimilation for the Carbon Cycle, Short Course: Data Assimilation for the Carbon Cycle at National Center for Atmospheric ResearchThe University of UtahBachelor of Science (BS), Symbolic Systems, Bachelor of Science (BS), Symbolic Systems at Stanford University
Github Skills (99)
insar10
development-mode10
backend10
watershed10
r10
water10
risk-assessment10
r-package10
data-services10
carbon-emissions10
complex10
portal10
atmosphere10
time-series10
climate-science10
Programming languages (10)
Github contributions (5)
aappling-usgs/loadflex
Aug 2016 - Dec 2024
Models and Tools for Watershed Flux Estimates
Contributions:120 pushes, 20 branches, 1 tag in 8 years 4 months
risk-assessmentwatershedfluxsustainabilityclimate-change
aappling-usgs/lake-temperature-model-prep
Jul 2018 - Jan 2021
Contributions:36 pushes, 14 branches in 2 years 6 months
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