Led project designing a QA/QC machine learning algorithm to provide a forecast on survey success given series of inputs. The model was deployed using Azure ML and was accessible via API endpoint. This helped to ensure survey settings were of high quality helping to reduce overall uncertainty from poor survey design.

My main responsibilities were to wrangle a variety of data types from various sources including relational databases, geospatial data, and text data among others. During this role, I also developed an interactive, Plotly Dash application and deployed to an Azure Container instance to facilitate quantitative processing of wind data on-the-fly for use in methane gas quantification.

• Build UAV pipeline and develop remote sensing algorithms and analytics for crop science digital phenotyping• analyze impacts of weather and soil on agricultural systems and integrate new features for machine learning applications• develop automated workflows for production systems• Seed treatment analytics and modeling

NPP Fellow working with Dr. Richard Ferrare on LiDAR remote sensing of atmospheric aerosol (suspended particulates) using combined HSRL and Raman LiDAR techniques.

• examined variability in global particulate lidar ratio (an indicator of particle type) over oceans from combined remote sensing platforms for various seasons and meteorological conditions (e.g. wind speed)• assessed impacts to retrievals of aerosol backscatter from the use of a constant lidar ratio• conducted laboratory analysis on humidification properties of organic, hydrogel-like macromolecules using hygroscopic tandem differential mobility analyzer methods• modeled predictions of water-uptake for these macromolecules to investigate deviations from theory that indicate interplay between polymer and salt contributing to reduced hygroscopicity (swelling due to humidification)• posited impacts these assumptions might have on our understanding of climate change• led to advancements in bridging remote sensing products to atmospheric models by Creating Aerosol Types from CHemistry (CATCH): an algorithm to link model simulations to current state-of-the-art remote sensing products. This algorithm serves as a constraint to model simulations of chemical composition by providing a more rigorous constraint to observations beyond the total column aerosol optical depth (a measure of particulate matter within an atmospheric column)• provided a basis to progress knowledge of climate change by developing a framework to link the two most advanced methods available for assessing humanity's radiative impact• prepared for submission and published scientific manuscripts in peer-reviewed journals

• taught basic climate and meteorological topics to undergraduate students during MEA 135 Introduction to Weather and Climate Laboratory; topics included but were not limited to atmospheric variables, climate, mesoscale systems, severe weather, hurricanes, cloud processes and precipitation, radiation, and weather map analysis• implemented teaching tools such as custom syllabi and powerpoint presentations

• compared aerosol classification algorithms from passive and active remote sensing methods• provided data analysis for Dr. Meloë Kacenelenbogen for research presented at the American Geophysical Union Conference

• investigated aerosol-cloud water uptake properties during the Integrated Precipitation and Hydrology Experiment (IPHEx)• responsible for maintaining operation of a scanning mobility particle sizer coupled to a cloud condensation nuclei (CCN) counter for measuring ambient aerosol size distributions and CCN• processed and archived collected data into an HDF5 and NetCDF formatted data set used in formal publication

• interned with Dr. Yongxiang Hu to study clouds and aerosols using NASA's High Spectral Resolution Lidar (HSRL)• provided data analysis of HSRL HDF5 data sets and presented work at the American Geophysical Union Conference in 2013• prepared technical report as part of the internship requirements for submission to NASA Langley

• researched atmospheric effects of bio-fuel producing crops; specifically Miscanthus, Switchgrass, and Maize/Soy• performed on-site field work for operating and maintaining LAI meters, net-flux radiometers, rain gauges, anemometers, and soil temperature probes• prepared written report of this research for my undergraduate capstone project

• maintained front end of store by providing exceptional customer service• responsible for overseeing cashier operations and schedules• conducted financial transactions including store sales and returns/exchanges, check cashing, credit card sales, bill pay, government services such as LINK and WIC, and money orders• maintained front end open register schedules as determined by HQ• was responsible for cash register audits for front end, pharmacy, garden, electronics, service desk, jewelry, and sports/hunting

• tutored student athletes in the Atmospheric Sciences