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usgs_staff_profile: | usgs_staff_profile: | ||
meta: | meta: | ||
url: https://www.usgs.gov/staff-profiles/gericke-cook | |||
timestamp: '2024-01-30T22:19:14.805086' | |||
status_code: 200 | status_code: 200 | ||
profile: | profile: | ||
name: Gericke Cook | |||
name_qualifier: null | |||
titles: | |||
- | - Supervisory Data Scientist | ||
organizations: | |||
- | - !!python/tuple | ||
- Water Resources Mission Area | |||
- https://www.usgs.gov/mission-areas/water-resources | |||
email: gcook@usgs.gov | email: gcook@usgs.gov | ||
orcid: 0000-0003-2741-787X | |||
intro_statements: | |||
- Gericke is a Supervisory Data Scientist in the Data Science Branch for the USGS | |||
Water Resources Mission Area. | |||
expertise_terms: | expertise_terms: | ||
- Data Science | - Data Science | ||
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- Agriculture | - Agriculture | ||
- Invasive Species | - Invasive Species | ||
professional_experience: | professional_experience: | ||
- "Jan 2017 \u2013 Nov 2022. Mathematical Statistician: Transboundary Disease\ | - "Jan 2017 \u2013 Nov 2022. Mathematical Statistician: Transboundary Disease\ | ||
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- "Jan 2008 \u2013 Jan 2009. Cartographic Technician. USDA APHIS, Plant Protection\ | - "Jan 2008 \u2013 Jan 2009. Cartographic Technician. USDA APHIS, Plant Protection\ | ||
\ and Quarantine, Field Operations." | \ and Quarantine, Field Operations." | ||
education: | |||
- Certificate, Geostatistics and Open-Source Statistical Computing, 2010. University | |||
of Twente, Enschede, Netherlands. | |||
- PhD, Ecology (unawarded). Colorado State University. Fort Collins, Colorado. | |||
- BS, Mathematics and Biology. 1998. Western Kentucky University. Bowling Green, | |||
KY. | |||
affiliations: [] | |||
honors: [] | |||
abstracts: [] | |||
personal_statement: 'Gericke Cook is the lead for applied data science in the | |||
Data Science Branch of the Integrated Information Dissemination Division. She | |||
leads ingestion and integration of difficult data into meaningful analyses and | |||
predictions to support decision making for Water Mission Area: state-of-the-art | |||
AI/ML predictions, forecasts, and projections; engineering the pipeline architecture | |||
for processing, deployment, and operationalization of those models in HPC or | |||
cloud environments; and delivering analytic reporting on how our data and models | |||
are being consumed by the public (prep, predict, report).' |