Utilized databases from MIT and Harvard to access recent precinct-level election data, streamlining the calculation of distances between voting districts and state capitals using R packages, reducing manual coordinate recording by 90%Performed in-depth analysis of 2000-2020 election data, identifying unexpected bimodal voting distributions in relation to geographic distance from major cities, which may indicate strategic resource allocation by political parties in key districts

Volunteered at the Akiva Cohen Lab at the Children's Hospital of Philadelphia to contribute to ongoing research projects.Conducted advanced image segmentation using methods such as k-means, watershed, canny edge detection, and Otsu binarization.Implemented YOLOv5 and YOLOv8 for object detection in images, enhancing the accuracy of behavior classification.Gained expertise in deep pose estimation to analyze mouse behaviors post-treatment.Focused on the analysis of mouse sleep patterns as a response to various treatments.