After completing medical school, I opted to pursue a career in public health with the goal of working with larger populations than would have been possible as a practicing physician. I was accepted by Saint Louis University's College for Public Health and Social Justice as part of the Masters in Public Health program with concentration in Biosecurity and Disaster Preparedness (BSDP) program which I began full-time last fall.
In the BSDP program I’m working towards a self-made sub-concentration in geographic information systems (GIS) public health disaster preparedness. This interest was prompted by the ecological change seen in Southern Louisiana and its effect on the local populations. We have a lot of coastline down here, and with climate change and sea level rise, we’ve lost a lot of coastline already with no end in sight. I'd like to combine data science, mapping, and public health in my future career. I currently live in New Orleans with my wife and two cats and spend the free time I have exploring the waterways of Louisiana.
Earlier this year I worked on mapping COVID-19 testing centers in New Orleans. The disparity in free testing centers is a concern for those in poverty areas and households without vehicle access.
Map Link: New Orleans Free COVID-19 Testing Disparity
In my spare time, Python coding has gained my interest. Low-powered and low-cost computing and data visualization may be the defining factors in the success of developing countries and communities. In an effort to begin to understand the potential of these technologies I created a weather display using a Raspberry Pi single board computer and an electronic paper display.
Photos and Code: GitHub Repository
Remote sensing and geospatial analysis is becoming increasingly important in the field of public health. To explore the ways with which to analyze this data, I created a completely free and open source Python script which uses the Landsat8 satellite data to create visualizations and GeoTIFF files for further analysis.
This image is an example of the script's calculation of near infrared composite on September 18th, 2020 during the Oregon/Washington forest fires. Areas in red have healthy vegetation.
Code and Information: GitHub Repository