Lauren Koenig
Data Scientist
City of Albany, New York, United States
Summary
👤
Senior🎓
Top SchoolLauren Koenig is an environmental data scientist with 10 years of experience applying sensor networks, spatial analysis, and simulation models to understand how environmental change affects water quantity and quality across streams, rivers, and lakes. Based at USGS in Albany, she blends rigorous academic training (PhD in Earth and Environmental Science) with hands-on field and modeling work developed through postdoctoral roles and long-term aquatic research. She communicates complex science clearly—facilitating stakeholder discussions and public speaking—and has led open science efforts within USGS, making project code and data more accessible. Comfortable at the intersection of biogeochemistry and data science, she leverages landscape-scale thinking to translate monitoring data into actionable insights for water-resource management.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Earth and Environmental Science, Doctor of Philosophy - PhD, Earth and Environmental Science at University of New HampshireBachelor of Science, Aquatic Biology, Bachelor of Science, Aquatic Biology at UC Santa Barbara
Github Skills (40)
predict10
water10
prediction-model9
prepare9
traits9
portal9
water-quality9
targets8
hydrology8
climate-science8
machine-learning-models8
r-package7
reproducible-research7
datasets7
pipeline7
Programming languages (3)
Github contributions (5)
DOI-USGS/ds-pipelines-targets-example-wqp
Feb 2022 - Jul 2023
An example targets pipeline for pulling data from the Water Quality Portal (WQP)
Contributions:110 reviews, 79 PRs, 37 pushes in 1 year 5 months
pipelinewqpportaltargetswater
USGS-R/drb-gw-hw-model-prep
Jun 2022 - Jun 2023
Code repo to prepare groundwater and headwater-related datasets for modeling river temperature in the Delaware River Basin
Contributions:56 reviews, 43 PRs, 23 pushes in 1 year
rivergroundwaterhydrologyoceanbasin
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