Developing a framework that can search for and download relevant papers, then extract pertinent information using LLM's in a structured manner to allow for the quick creation of large, highly specialized datasets from journal entries.

Attempting to create an automated framework (EMADE) using Genetic Programming that develops hybrid algorithms from the best human algorithms that surpass existing methods. Utilized Machine Learning, Cloud Computing, and learned open-source software development. Currently involved in the Engagement Detection sub-team, where we are attempting to create a machine learning model that can determine the engagement of students in a virtual learning setting based on web camera footage.

Developed a specialized Content Management System for Jennifer Ann’s Group, a non-profit organization addressing teen dating violence, using TypeScript and Next.js.

Developed a CI/CD pipeline using Gitlab CI/CD for a large-scale geneticprogramming framework, integrating unit testing and evolutionary loop validation on a Slurm-based HPC runnerCreated an automated semi-supervised multi-label classification system for the labeling of over 10 million infared images

Analyzed trends in particulate matter (PM1,PM2.5, and PM10) data collected from various low-cost sensors (LCS) across the U.S, as part of the ASCENT (Atmospheric Science and mEasurement NeTwork) project.