Education
Master of Science in Meteorology
San Jose State University, 2021
Thesis: Observational Analysis and Modeling of the "B" Regional Dust Storm on Mars (link)
Bachelor of Science in Environmental Science
Global Systems & Policy Emphasis
Creighton University, 2017
Minor: Atmospheric Science
Minor: Communication Studies
Certifications
Google Data Analytics Specialization
by Google on Coursera
Capstone Project: Bellabeat Marketing Campaign (link)
Machine Learning
by Stanford on Coursera
Credential ID: MNP4AWRXCYG6
Skills
Professional
Data Analysis, Data Science, Data Visualization, Data Processing & Cleaning, Data Management, ETL, Data Warehousing, Data-Driven Decision Making, Statistical Analysis, Machine Learning, Predictive Modeling, Problem-Solving, Communication Skills, Scientific Research & Publication, GIS, Atmospheric Science
Technical
Python (NumPy, pandas, SciPy, Matplotlib, Plotly, Xarray, Dash), R (tidyverse, ggplot2), Tableau, Excel, Google Sheets, SQL (MySQL, BigQuery), Linux, Bash, GitHub, Code Editors (VS Code, Vim, Sublime), LaTeX, Markdown, ParaView, MATLAB, IDL, Fortran
Work Experience
Associate Research Scientist
2021-present
Promoted upon completion of master's degree.
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Data-Driven Scientific Research: lead scientific research projects on the physics and dynamics of the Martian atmosphere.
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Software Development: developed open-source Python-based analysis software for processing & visualizing Global Climate Model (GCM) data products and internal diagnostic tools (Bash/Python) for testing that analysis software and the GCM data products released on NASA’s GitHub.
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Presented Research & Software to Stakeholders: presented first-authored research at over a dozen scientific conferences (domestic and international), invited speaker at AGU in 2022, and hosted two user tutorials for the analysis software and Mars GCM described above.
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Published Peer-Reviewed Scientific Papers: first and co-authored papers on Mars climate dynamics in established journals (Icarus; recent paper).
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- Data Processing & Analysis: Transformed several hundred GB of 5D data using Python (NumPy, pandas, SciPy, MetPy, Xarray) and R (tidyverse) to derive secondary variables, perform statistical analyses, and implement numerical methods for fluid dynamic equations
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- Data Visualization: Created 1D line plots, 2D maps, cross-sections, and 3D renderings of atmospheric phenomena using Matplotlib, Plotly, ggplot2, ParaView, and Blender, including animations of time-varying variables
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- Database Management: Sourced and managed diverse data formats (netCDF, Fortran binary, CSV, text) from remote sensing instruments, in-situ observations, and climate model simulations using SQL, BigQuery, and Linux tools
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- Software Development: Developed open-source Python-based analysis software on GitHub for processing large multi-dimensional datasets and created automated data processing pipelines in Bash to streamline routine analyses
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- Dashboard Creation: Co-developed web-based visualization platform using Dash for climate model data, implemented tracking dashboards in Tableau and Google Sheets, and built interactive tools to verify model stability
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- Project Leadership: Authored peer-reviewed research for established journals, presented findings to stakeholders, hosted user tutorials for open-source software, and managed new projects based on analytical results
Bay Area Environmental Research Institute
NASA Ames Mars Climate Modeling Center,
Moffett Field, CA
Assistant Research Scientist
2019-2021
Joined the MCMC upon completion of the NASA internship & bachelor's degree.
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Data Interpretation: distilled tens of GB of Mars GCM data into meaningful insights for scientific research and model development efforts.
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Project Management: organized and managed the team calendar, cloud storage systems, annotated meeting notes, and managed internal documentation on the development of the Mars GCM.
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Cross-Functional Collaboration: conducted research with and developed analysis software for scientists across specializations including geologists, physicists, meteorologists, and astronomists.
Bay Area Environmental Research Institute
NASA Ames Mars Climate Modeling Center,
Moffett Field, CA
Research Associate
2019-2021
Held a Research Assistantship while completing masters degree.
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Completed Master's Thesis: successfully wrote and defended a graduate level thesis on the dynamics driving dust lofting in Martian dust storms (link).
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Data visualization & Numerical Modeling: self-taught how to run the Mars GCM & created an analysis pipeline enabling Mars GCM output to interface with 3D volume-rendering visualization software to create more realistic animations of dust storms on Mars.
San Jose State Research Foundation
San Jose, CA
NASA Intern
2016
Interned with the Mars Climate Modeling Center at NASA Ames.
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Data Management: retrieved, cleaned, validated, and analyzed data from Mars landers.
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Data Analysis: quantified changes in atmospheric mass through statistical and meteorological analysis
NASA Ames
NASA Ames Mars Climate Modeling Center,
Moffett Field, CA
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