Passionate about implementing machine learning solutions in healthcare settings. Currently working on spatial inference on phylogenetic trees in Emory's spatial computing lab.
Emory University
SIGSPATIAL 2025 SRC accepted paper on spatial inference on phylogenetic trees
Publications on Machine learning classification model using random forest to predict functional recovery in chronic/acute lower back pain patients.
Fully functional Unix shell implementation with support for interpreted commands and pipeline execution.
Chrome extension providing real-time local weather data with a clean, minimalist interface.
Innovative puzzle game combining Sokoban mechanics with Sudoku rules, built in Godot Engine.
Collection of 3D renders and concept art created using Blender, showcasing technical and artistic skills.
Hi, I'm Owen Tucker, a Computer Science senior at Emory University with a passion for machine learning applications in healthcare.
I specialize in developing innovative solutions that bridge the gap between complex data analysis and real-world applications, especially for Type One Diabetes. My experience spans from research on phylogenetic inference to predictive healthcare models.