my research

applying bayesian ridge regression ai modeling in virus severity prediction

associated with the ai virion analysis group

trained bayesian ridge regression models to analyze virion count and patient details to predict infection prognosis and quantify virus severity for infants infected with rsvi.

python scikit-learn pandas numpy matplotlib

matlab plasmonic nanoparticle virion counting and interpretation system in urban populations

associated with the ai virion analysis group

used nanoparticles, lasers, matlab, oscilloscopes, and poisson distributions to detect and quantify virions from a nasal swab. backed by ut dallas.

python matlab lasers nanoparticles oscilloscopes

my employment

jan 2025 - present

uc santa barbara

improving computer architectures for cloud computing.

may 2023 - may 2024

national zoning atlas

developed an interactive map for residential zoning ordinances.

jun 2022 - aug 2022

ut dallas

helped develop a phone app that detects respiratory viruses using nanoparticles.