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resume test 2
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magpowell committed May 19, 2024
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70 changes: 0 additions & 70 deletions _data/cv.yml
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- title: General Information
type: map
contents:
- name: Full Name
value: Margaret Powell

- 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.

- 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.

- 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.

- 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.


# - title: Honors and Awards
# type: time_table
# contents:
# - year: 1921
# items:
# - Nobel Prize in Physics
# - Matteucci Medal
# - year: 2029
# items:
# - Max Planck Medal

# - title: Academic Interests
# type: nested_list
# contents:
# - title: Topic 1.
# items:
# - Description 1.
# - Description 2.
# - title: Topic 2.
# items:
# - Description 1.
# - Description 2.

# - title: Other Interests
# type: list
# contents:
# - <u>Hobbies:</u> Hobby 1, Hobby 2, etc.
110 changes: 109 additions & 1 deletion assets/json/resume.json
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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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