University of Wisconsin, Madison, WI
Adviser: Dr. Ankur Desai
Millersville University of Pennsylvania, Millersville, PA
Minor in Physics
Ocean Modeler & Software Developer Feb. 2021 ‑ Present
Rutgers University
Assisted in the development of software for the NOAA‑GFDL Modular Ocean Model (MOM6) numerical model.
Designed and conducted MOM6 computer simulations on high performance computing clusters.
Coupled diverse geophysical components to the MOM6 earth system modeling framework (physics, biogeochemistry, etc.)
•Assisted the National Weather Service and INCOIS with the implementation and deployment of MOM6.
Built python packages and functions for grid generation, forcing file configuration, and MOM6 driver data extraction/manipulation.
Coordinated group software development and organized collaborative modeling efforts with colleagues.
Data Engineer Aug. 2017 ‑ Jun. 2021
University of Delaware
Built over 30 fully automated data collection, analysis, and processing pipelines for remotely sensed, meteorological, climatological, oceanographic, and agricultural datasets.
Designed quality control procedures using data science techniques on multiple datasets and visualized these datasets for private companies, academic research endeavors, and the general public.
Advanced machine learning workflows and helped integrate code into prediction modeling efforts.
Assisted both research scientists and private companies in numerous projects through decision support, custom data formatting, and data analysis and interpretation.
Adjunct Professor Aug. 2019 ‑ Jun. 2021
University of Delaware
Developed and taught four graduate level programming courses including .
Created a geospatial programming textbook and infused custom‑made tutorials on data analytics, visualization, linear regression modeling, and random forest modeling.
Instructed over 25 graduate students per semester and led collaborative programming efforts for students.
Carbon Modeler & Software Developer Aug. 2015 ‑ Jul. 2017
University of Wisconsin
Developed statistical downscaling algorithms, linear regression modeling routines, and data extraction functions for the Predictive Ecosystem Analyzer (PEcAn) open source modeling project.
Improved carbon cycle projection uncertainty by temporally downscaling CMIP5/MACA datasets and assimilating these datasets as meteorological drivers in the PEcAn modeling infrastructure.
Predictive Ecosystem Analyzer (PEcAn) Graduate Research Assistant (2015-Present)
University of Wisconsin - Madison : NSF
Created and tested code to the bioinformatics workflow designed to accelerate ecological modeling
Helped build a linear regression model to statistically temporally downscale meteorological data and improved site level forecasting by better capturing anomalous weather events and diurnal cycles
Quality controlled meteorological data and initialized ecosystem models and tested statistical significance of ecosystem model output
Created functions to extract meteorological data stored in THREDDS databases in netCDF and CSV format
Teaching Assistant for Meteorological Measurements (2017)
University of Wisconsin - Madison
Helped instruct students on measurement theory, calibration and operation of instruments, and data analysis
Held multiple lectures focused on eddy covariance, flux measurement theory, and air quality measurement techniques
Organized and planned deployment trips for the students and maintained meteorological and air chemistry instruments
Deriving Information on Surface Conditions from COlumn and VERtically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) Research Assistant (2014)
Millersville University : NASA
Led operations for particle analyzers to investigate air pollution concentrations and atmospheric chemistry downstream of the Denver urban center
Following extensive data analysis and quality assurance of data, we discovered a spike in ozone in the outflow boundaries of convectively initiated thunderstorms
Ontario Winter Lake-effect Systems (OWLeS) Undergraduate Research Assistant (2013)
Millersville University : NSF
Led operations for a Flux Tower and compiled data from the Flux Tower to better understand the dynamics and boundary layer turbulence associated with Lake-effect systems
Conducted flux tower data analysis that points to latent heat fluxes being a possible forcing that enables lake effect snow bands to continue downstream long after leaving the buoyancy force of the lake
Participated in Raidosonde, Tethersonde, WeatherPak, and LiDAR operations
Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration (2021)
https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.15409
Persistent upwelling in the Mid-Atlantic Bight detected using gap-filled, high-resolution satellite SST (2021)
https://www.sciencedirect.com/science/article/pii/S0034425721002054
Partitioning Sources of Uncertainty in Projecting the Impact of Future Climate Extremes on Carbon Cycling
Investigated climate projected data and its impact on future ecosystem carbon cycling using custom R packages and functions I created to automatically call data and temporally downscale and debias data
Constructing Vertical Profiles of Kinematic Turbulent Fluxes during OWLeS Field Campaign
Derived fluxes between flux tower, tethersondes and aircraft from the vertical gradients of temperature, absolute humidity, and component wind speed and presented poster at AMS 2015
Featured Student Presenter at Millersville University Research Recognition Ceremony
Presented OWLeS Research Project description at the ceremony and highlighted on the formation mechanisms and cloud microphysics along with the data Millersville collected
Computer: Python, R, Shell/Bash, Machine Learning, SQL, ArcGIS, UNIX, Linux, Github, GDAL, MATLAB, FORTRAN, WordPress, HTML, Microsoft Office Suite
Data: Big Data Extraction/Ingest, Reading/Writing/Reprojecting various datatypes (NetCDF, GRIB, Cfradial, GeoTIFF, HDF5, CSV, etc.), Linear Regression Modeling, Model Output Interpretation
Honors: University of Wisconsin - Madison Research Assistant (Full Tuition & Stipend), Millersville University Earth Science Research Award, Millersville University Weather Center Lead Forecaster Recognition
Relevant Coursework: Atmospheric Dynamics, Atmospheric Radiation, Climate Statistics, Bioclimatology, Environmental Biophysics, Boundary Layer Meteorology
Other Activities & Involvements: Plains Elevated Convection at Night (PECAN) student researcher, AOS Welcome Committee, Flux Course 2016, President of Millersville University Club Soccer, ILAMB Workshop 2016, Space Weather Workshop 2014