Analytics

• Identified two sets of regions with disctinct change patterns
• Dataset cleaning and restructuring to robustly define and carefully asses changes in policies between years
• Challenging to handle missing data, gaps in data, changing definitions, and other complexities
• Foundation for regression analyses I ran later in this project to asses relationship between policies and outcomes

Talus Analitics Epi Sim Javascript Implementation

• Re-implementation of existing Talus epidemic model originally written in Python
• Adapted open source interface written in Svelte to work with the Talus model
• Model runtime changed from tens of seconds to tens of milliseconds
• Sufficient performance for the model to display in 60fps as the user interacts with the controls, making the parameters much more intuitive
• Allows user to manipulate 13 different paramters in addition to marking behavioral changes directly on the plot
• User can download each model run as a CSV file

HIV Policylab Policy Combinations and Adoption Table Tools

• Allows researchers to visualize adoption of combinations of policies
• Options for visualizing both partial and complete adoption, terms which were challenging to define and implement correctly
• Took on development role implementing functionality of the tool and integrating it with the existing site and datastructures
• Worked closely with the team to iterate the precise functionality of the tool, and specific meaning of all terms
• Implemented in pure React.js, as an early trial of what later became my DimPlot library
• Designed and implemented single datastructure for both graph and tabular form
• Implemented reusable filter components and system for both of these analyses and others on the site

Project Details
Company:	Talus Analytics
Partner:	O’Neill Institute for National and Global Health Law at Georgetown University Law Center
Partner:	Georgetown University Center for Global Health Science and Security

Agriculture in Argentina

• Long-term project demonstrating connection between Argentine transportation network and farmers' crop planting decisions
• Created georeferenced dataset of Argentine soy crushing facilities by hand using printed data from the Bolsa De Comercio De Rosario and satellite imagery
• Created driving dataset of duration and driving distance between every soy-producing district in Argentina and every soy-crushing facility in the country using Google Maps Distance Matrix api
• Retrieved 7,000+ driving paths for mapping using Google Maps directions API
• Developed econometric model for interaction between road system and planting decisions

Download Full Paper

Data Sources:

See Works Cited (too many to fit here)

Behavioral Economic Analysis of Basic Income

• Economic paper summarizing most basic income studies worldwide and proposing a behavioral economic model for assessing te effectiveness of future programs
• Principal - Agent model
• Extensive literature review

Download Full Paper

Data Sources:

See Works Cited (too many to fit here)

Long-Term Exercise & Resting Heart Rate

• Plot showing 22 months of resting heart rate (RHR) data and workout duration data leading up to and through competing in a sprint triathlon
• Light red line indicates 30-day rolling mean RHR
• Solid light orange indicates 30-day rolling mean workout time in minutes
• Standard deviations are visualized in light pink to illustrate variability—a correlation between erratic workout schedules and higher RHR variability is visually apparent
• Data scraped from Garmin Connect website using mouse automation
• Parsed & cleaned using Python (numpy/pandas), and plotted using matplotlib

Data Sources:
RHR / Workout Minutes:	Scraped from Garmin Connect webapp