Billy McGloin
I build machine learning models for hard, real-world problems where uncertainty, time, and imperfect data matter.
My work spans survival analysis, reinforcement learning, and agentic systems. Take a look around.
Featured Work
FrailNetNew
A variational frailty model for time-to-event prediction applied to interstate conflict. Built on a Cox proportional hazards neural network with uncertainty quantification via variational inference. Pending publication.
Read more →Moon Rover
Reinforcement learning for autonomous lunar rover navigation under uncertainty. Developed with NASA-affiliated researchers and presented at StatConnect 2025.
Read more →Code Analysis Agent
An LLM-powered agentic system that extracts and queries semantic relationships across large codebases using LangGraph, RAG, and Neo4j graph representations.
Read more →Christmas Lights Updated
A custom Raspberry Pi lighting system that uses computer vision to reconstruct 500 NeoPixel LEDs in 3D space from multiple camera angles, enabling procedural spatial animations and dramatically reducing calibration time.
Read more →Sound, Waves, & MusicNew
An interactive exploration of the waves, harmonics, chords, and hidden math behind the music we hear.
Read more →Moovies
A full-stack movie analytics dashboard built in JavaScript, exploring IMDb data across genre trends, box office performance, sentiment analysis of scripts, and individual title deep-dives. Built with a team using web scraping, APIs, and zero prior JS experience.
Read more →