Item talk:Q47129
From geokb
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject
abstract: Physical Scientist with the Lower Mississippi-Gulf Water Science Center additionalType: short description
- '@type': TextObject
abstract: Michelle is a Physical Scientist at the Lower Mississippi-Gulf Water Science Center. additionalType: staff profile page introductory statement
- '@type': TextObject
abstract: "Michelle is a Physical Scientist at the Lower Mississippi-Gulf (LMG)\ \ Water Science Center, stationed at EPA\u2019s Chesapeake Bay Program (CBP) Office\ \ in Annapolis, MD. She joined the CBP in October 2023, and now supports efforts\ \ to monitor and benchmark Chesapeake restoration progress using geospatial analysis\ \ and modelling.Prior to joining the LMG and CBP, Michelle spent 4 years as a\ \ Physical Scientist at the MD-DE-DC Water Science Center in Baltimore, MD. During\ \ her time at MD-DE-DC, Michelle provided science and leadership support to local,\ \ regional, and national projects funded by DC DOEE, USGS Chesapeake Bay PES,\ \ USGS Water Mission Area, and USGS Community for Data Integration.Recent project\ \ themes:Urban flood frequency analysisWater Use data acquisition, storage and\ \ managementAnomaly detection for timeseries dataSoftware developmentCloud computing;\ \ Statistical programmingGeospatial programmingSediment budgets.Watershed modelling" additionalType: personal statement
- '@type': TextObject
abstract: 'Katoski, M.P., Cashman, M.J., and Lester T., Vogel K., 2023. From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making. USGS Timeseries Record Automation Focus Group. June 22, 2023.' additionalType: staff profile page abstract
- '@type': TextObject
abstract: "Katoski, M.P., Baker, M.E, 2023. Characterizing urban woodlands using\ \ LiDAR derived metrics of vertical structure in Baltimore, MD. International\ \ Association of Landscape Ecology \u2013 North America Annual Meeting. Riverside,\ \ CA; March 22, 2023." additionalType: staff profile page abstract
- '@type': TextObject
abstract: 'Katoski, M.P., Cashman, M.J., and Lester T., Vogel K., 2022. From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making. USGS Community for Data Integration. August 11, 2022.' additionalType: staff profile page abstract
email: mkatoski@usgs.gov hasCredential: - '@type': EducationalOccupationalCredential
name: 'M.S. Student (2020 - Present) University of Maryland, Baltimore CountyDepartment of Geography and Environmental Systems, Committee Chair: Matthew Baker'
- '@type': EducationalOccupationalCredential
name: B.S. Environmental Science, GIS Certificate (2014 - 2017)University of Maryland, Baltimore County
hasOccupation: - '@type': OrganizationalRole
affiliatedOrganization: '@type': Organization name: Lower Mississippi-Gulf Water Science Center url: https://www.usgs.gov/centers/lower-mississippi-gulf-water-science-center roleName: Physical Scientist startDate: '2024-05-10T20:46:05.529890'
- '@type': Occupation
additionalType: self-claimed professional experience name: "Physical Scientist (September 2023 \u2013 Present) - Lower Mississippi-Gulf\ \ Water Science Center, Chesapeake Bay Program Office, Annapolis, MD"
- '@type': Occupation
additionalType: self-claimed professional experience name: "Physical Scientist (September 2019 \u2013 October 2023) - MD-DE-DC Water\ \ Science Center Baltimore, MD"
- '@type': Occupation
additionalType: self-claimed professional experience name: "Student Researcher (December 2017 \u2013 September 2019) - University of\ \ Maryland, Baltimore County Baltimore, MD"
- '@type': Occupation
additionalType: self-claimed professional experience name: "Seasonal Technician (May 2018 \u2013 November 2018) - Maryland Department\ \ of Natural Resources, Annapolis, MD"
identifier: - '@type': PropertyValue
propertyID: ORCID value: 0000-0001-5550-0705
jobTitle: Physical Scientist knowsAbout: - '@type': Thing
additionalType: self-claimed expertise name: Landscape structure and function
- '@type': Thing
additionalType: self-claimed expertise name: Modelling forest structure
- '@type': Thing
additionalType: self-claimed expertise name: Land use and land change
- '@type': Thing
additionalType: self-claimed expertise name: Watershed modelling
memberOf:
'@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-10T20:46:05.526536'
name: Michelle P Katoski url: https://www.usgs.gov/staff-profiles/michelle-p-katoski