Nathan Hogg
Computer science student at Loyola University Chicago focused on computer vision, robot learning, and applied machine learning research. I like turning research ideas into working systems.
Selected Work
KV Cache Eviction for Efficient LLM Inference
May 2026 — PresentDeveloping a vLLM KV-cache eviction policy to reduce memory pressure during large language model inference.
Learning Embodied Control Policies from Human Behavior
January 2026 — PresentLearning robotic control policies from human demonstrations using imitation learning and vision-language models.
Neural Scatter Removal for Image-Guided Radiation Therapy
May 2025 — August 2025A U-Net that removes megavoltage scatter from treatment images to support image-guided radiation therapy.
MoodMate
2025Full-stack mental wellness app offering AI-driven insights based on journal entries.
PlantPals
2025AI chatbot that teaches children about plant care as a Tamagotchi-like plant companion. Built at WildHacks.
Fair or Not? The Ethics of Unseen Data in AI Training
June 2024An analysis of consent, transparency, ownership, and fairness in large-language-model training data.
BitSource Crack Estimation
May 2024 — August 2024A hardware-software system that detects sidewalk cracks and estimates their severity with computer vision.
Determining Optimal Launch Conditions of Small-Scale Orbital Satellites
January 2022 — May 2022Mathematical modeling of the launch conditions needed to place small-scale satellites into orbit.
Experience
Computer Vision & Robot Learning Researcher
2026 — PresentLoyola Chicago Software Systems Laboratory
Chicago, IL
Building imitation learning pipelines with foundation models for 6D pose estimation, plus motion retargeting from human demonstrations to robot hardware.
Webmaster
2025 — PresentLoyola University Chicago — Dept. of Computer Science
Chicago, IL
Maintain the department website with 99.9% uptime, collaborate with faculty on new features, and improve performance and accessibility.
Medical Physics Researcher
2025Loyola University Cardinal Bernardin Cancer Center
Maywood, IL
Developed neural network architectures for medical image processing and markerless tumor tracking research.
Software Engineering Intern
2024Bitsource LLC
Pikeville, KY
Built hardware and software for sidewalk crack detection and severity analysis.
Undergraduate Research Assistant
2022 — PresentMoseley Bioinformatics Lab, University of Kentucky
Lexington, KY
Developing analytical tools to remove distortions in Fourier transform mass spectrometry data.
Education
Loyola University Chicago
B.S. Computer Science, Minor in Statistics
Skills
Writing
Welcome to My Blog
Jan 8, 2025An introduction to my personal blog where I'll share thoughts on technology, research, and the tools that make our work better.
Setting Up PyTorch for Medical Imaging Research
Jan 7, 2025A comprehensive guide to setting up PyTorch for medical imaging projects, including GPU configuration and essential libraries.
Contact
I'm always happy to talk about research collaborations, internships, or interesting problems. The best way to reach me is by email.