I'm a data scientist, mathematician, software developer, and researcher working at the intersection of environmental science, data, and software. My work focuses on using mathematical and statistical methods to make sense of complex environmental systems.
I am currently at Air Quality Data Scientist at the Colorado Department of Public Health and Environment (CDPHE GitHub).
Automated mapping of esat Positive Matrix Factorization (PMF) profiles to EPA SPECIATE emission sources using machine learning
Started as an N=1 analysis of my running efficiency before and after heat adaptation, using my own training data, and ended with a 50k race plus some solid insights along the way. See write-ups on my blog: We got a runner, Regression on the Run, Running the Numbers.
Data analysis tools for analysis of POPS SAIL-Net data, integrating and visualizing aerosol data from a 1.5-year DOE-funded field campaign.
ACT (contributor)
Enhanced visualization capabilities and added corresponding unit tests to improve functionality and reliability.
sai-simulator (contributor)
Implemented a CLI-based subset download feature for a 140 GB dataset and expanded visualization support for climate model outputs.
esat (contribuutor)
Identified and fixed a bug in the package while using it for source apportionment analysis.
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Air Quality Data Scientist, Colorado Department of Public Health & Environment
Building data workflows, dashboards, and ML tools for statewide air monitoring and analysis. -
Affiliate Scientist, Lawrence Berkeley National Laboratory
Analyzing dust-on-snow impacts using observational, remote sensing, and modeled datasets. -
Research Associate II, Handix Scientific Led data analysis for the 1.5 year SAIL-Net project and updated software for atmospheric instrumentation.
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MS, Applied Mathematics — Colorado State University
Research in PDE-based modeling and dynamical systems.
Center for Interdisciplinary Mathematics and Statistics Fellow. -
BS, Mathematics (cum laude) — Colorado State University
Minor in Spanish | Boettcher Scholar