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- title: General Information | ||
type: map | ||
contents: | ||
- name: Full Name | ||
value: Margaret Powell | ||
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- title: Education | ||
type: time_table | ||
contents: | ||
- title: AB | ||
institution: Harvard College, Cambridge, Massachusetts. | ||
year: 2019 | ||
description: | ||
- Description 1. | ||
- Description 2. | ||
- title: Description 3. | ||
contents: | ||
- Sub-description 1. | ||
- Sub-description 2. | ||
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- title: Experience | ||
type: time_table | ||
contents: | ||
- title: Graduate Researcher | ||
institution: Columbia University | ||
year: 2023 - present | ||
description: | ||
- Researching improvement in parametrization of subgrid-scale cloud processes in Earth System Models (ESMs) as part of the | ||
Learning the Earth with Artificial Intelligence and Physics (LEAP) NSF center. | ||
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||
- title: Climate Impact Data Scientist | ||
institution: Gro Intelligence, New York, New York. | ||
year: 2021 - 2023 | ||
description: Assessed physical climate risk to populations, assets, commodities, and infrastructure using CMIP6 ensemble projections and other | ||
climate indicators; considered uncertainty of projections and exposure of assets to contextualize risk metrics. | ||
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||
- title: Research Analyst | ||
institution: Industrial Economics, Inc., Cambridge, Massachusetts. | ||
year: 2020 - 2021 | ||
description: Conducted research and performed quantitative analyses on high-profile environmental and public policy problems for clients to | ||
produce health impact and natural resource damage assessments. | ||
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# - title: Honors and Awards | ||
# type: time_table | ||
# contents: | ||
# - year: 1921 | ||
# items: | ||
# - Nobel Prize in Physics | ||
# - Matteucci Medal | ||
# - year: 2029 | ||
# items: | ||
# - Max Planck Medal | ||
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# - title: Academic Interests | ||
# type: nested_list | ||
# contents: | ||
# - title: Topic 1. | ||
# items: | ||
# - Description 1. | ||
# - Description 2. | ||
# - title: Topic 2. | ||
# items: | ||
# - Description 1. | ||
# - Description 2. | ||
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# - title: Other Interests | ||
# type: list | ||
# contents: | ||
# - <u>Hobbies:</u> Hobby 1, Hobby 2, etc. | ||
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{ | ||
"basics": { | ||
"name": "Margaret Powell", | ||
"label": "Earth and Environmental Engineer", | ||
"email": "[email protected]", | ||
"phone": "(732) 737-4862", | ||
"summary": "Graduate Researcher specializing in Earth System Models and the improvement of parametrization of subgrid-scale cloud processes. Skilled in high performance computing, climate data analysis, and environmental risk assessment.", | ||
"profiles": [ | ||
{ | ||
"network": "GitHub", | ||
"username": "magpowell", | ||
"url": "https://github.com/magpowell" | ||
} | ||
] | ||
}, | ||
"education": [ | ||
{ | ||
"institution": "Columbia University, Fu Foundation School of Engineering and Applied Science", | ||
"location": "New York, NY", | ||
"area": "Earth and Environmental Engineering", | ||
"studyType": "M.S./Ph.D", | ||
"startDate": "2023", | ||
"endDate": "Expected 2028", | ||
"advisor": "Prof. Pierre Gentine", | ||
"awards": [ | ||
"Columbia University Presidential Fellowship" | ||
] | ||
}, | ||
{ | ||
"institution": "Harvard University, Harvard College", | ||
"location": "Cambridge, MA", | ||
"area": "Earth and Planetary Sciences", | ||
"studyType": "A.B. Honors", | ||
"startDate": "2019", | ||
"honors": [ | ||
"Phi Beta Kappa", | ||
"John Harvard Scholar" | ||
], | ||
"awards": [ | ||
"Hoopes Prize", | ||
"Detur Book Prize", | ||
"Martin McPeck Prize" | ||
] | ||
} | ||
], | ||
"work": [ | ||
{ | ||
"name": "Columbia University", | ||
"location": "New York, NY", | ||
"position": "Graduate Researcher", | ||
"startDate": "2023", | ||
"summary": "Researching improvement in parametrization of subgrid-scale cloud processes in Earth System Models (ESMs) as part of the LEAP NSF center. Investigating turbulence and mesoscale dynamics on cloud cover using machine learning methods for dimensionality reduction." | ||
}, | ||
{ | ||
"name": "Gro Intelligence", | ||
"location": "New York, NY", | ||
"position": "Climate Impact Data Scientist", | ||
"startDate": "2021", | ||
"endDate": "2023", | ||
"summary": "Assessed physical climate risk using CMIP6 projections and built model prototypes for climate indicators. Oversaw design and implementation of data pipelines, leveraging high performance computing tools and created dynamic visualizations." | ||
}, | ||
{ | ||
"name": "Industrial Economics, Inc.", | ||
"location": "Cambridge, MA", | ||
"position": "Research Analyst", | ||
"startDate": "2020", | ||
"endDate": "2021", | ||
"summary": "Conducted research and analyses on environmental and public policy issues, developing spatial models to estimate natural resource damages and presenting at international workshops." | ||
}, | ||
{ | ||
"name": "Harvard University Department of Earth and Planetary Sciences", | ||
"location": "Cambridge, MA", | ||
"position": "Research Assistant", | ||
"startDate": "2018", | ||
"endDate": "2019", | ||
"summary": "Investigated methane emissions in the Arctic, presenting findings at the AGU Fall Meeting." | ||
} | ||
], | ||
"skills": { | ||
"programmingLanguages": ["Python", "R", "Bash", "SQL", "MATLAB"], | ||
"libraries": ["xarray", "keras", "tensorflow", "sklearn", "geopandas", "numpy", "pandas"], | ||
"databaseTools": ["PostgreSQL", "PostGIS"], | ||
"computing": ["dask", "spark"], | ||
"platforms": ["Git", "Docker", "AWS", "Airflow"] | ||
}, | ||
"publications": [ | ||
{ | ||
"title": "Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach", | ||
"publisher": "Environmental Research Letters", | ||
"releaseDate": "2023-06-01", | ||
"url": "https://doi.org/10.1088/1748-9326/ab8f44" | ||
}, | ||
{ | ||
"title": "Using Machine Learning to Predict Inland Aquatic CO2 and CH4 Concentrations and the Effects of Wildfires in the Yukon-Kuskokwim Delta, Alaska", | ||
"publisher": "Global Biogeochemical Cycles", | ||
"releaseDate": "2022-04-01", | ||
"url": "https://doi.org/10.1029/2021GB007146" | ||
} | ||
], | ||
"projects": [ | ||
{ | ||
"name": "Climate Impact Risk Assessment", | ||
"startDate": "2021", | ||
"endDate": "2023", | ||
"summary": "Developed and managed a suite of tools for assessing and visualizing climate impact risks, using state-of-the-art computational techniques to provide actionable insights for diverse clients." | ||
} | ||
] | ||
} | ||
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