Colin Galbraith & Mr. Pickles

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I'm a 22-year-old PhD student in Computer Science at the University of Utah working under Jenny Han Lin. I earned my undergraduate degree in Applied Mathematics with a specialization in Computer Science from UCLA. My research interests lie at the intersection of simulation, computer graphics, and data-driven modeling. I'm passionate about developing computational models to solve complex physical and visual problems, with applications in physics-based animation, cloth simulation, and AI-enhanced graphics.

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View Full Resume (PDF)

EDUCATION

University of California Los Angeles
B.S. Applied Mathematics (Computer Science Specialization)
2021–2025

University of Utah
Ph.D. Computer Science
2025–Present

CURRENT ROLE

Graudate Research Assistant / PhD Student
University of Utah Computer Science Department
Salt Lake City, UT

PROGRAMMING LANGUAGES

Python • MATLAB • C++ • Java • C# • HTML • CSS • JavaScript

TOOLS & FRAMEWORKS

PyTorch • TensorFlow • NetworkX • Git • GitHub • SQL • Tableau • Microsoft Suite

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GRADUATE RESEARCH ASSISTANT (PhD STUDENT)

University of Utah

Salt Lake City, UT | Aug 2025 – Present

Neural Knitting Pipelines: Developing neural optimization pipelines to minimize carriage passes in industrial knitting machines, cutting cycle time and energy use
Differentiable Yarn Mechanics: Building differentiable simulators for yarn-level mechanics to enable gradient-based learning of fabric properties

UNDERGRADUATE RESEARCHER

UCLA Department of Mathematics

Los Angeles, CA | Jan 2025 – Aug 2025

AGEOABM Epidemic Simulator: Designed a configurable SEIIR agent-based model using OpenStreetMap data, osmnx, and networkx to simulate city-scale disease spread
Scalable Urban Networks: Implemented a highly concurrent Python architecture (Docker-based) enabling real-time simulations on metropolitan graphs

LAB ASSISTANT

UCLA PIC Lab

Los Angeles, CA | Sep 2024 – Jun 2025

Student Mentorship: Guided 100+ students in Python, C++, and Java; improved assignment completion rates by 8% through targeted debugging and conceptual reinforcement
Curriculum Design: Co-developed programming assignments and refined ML exercises to align with departmental learning objectives

APPLIED MATHEMATICS INTERN

Knight Cancer Institute & HHMI Janelia

Portland, OR / Remote | Jun 2024 – Aug 2024

SOFI Imaging Algorithms: Analyzed temporal blinking dye patterns to enhance SOFI super-resolution pipelines; implemented algorithms in Python/MATLAB
Synthetic Data Generation: Created synthetic dye datasets to benchmark imaging fidelity and informed protocol improvements for live-cell microscopy

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▶ Ray Tracing

Advanced ray tracing implementation for photorealistic rendering with custom light transport algorithms. GitHub

▶ GPySOFI

GPU-accelerated Python SOFI optimization framework for computational imaging and signal processing. GitHub

▶ Open RAG Search

Advanced retrieval-augmented generation system for intelligent document search and analysis. GitHub

▶ 3D Rendering Engine

Real-time 3D rendering engine for wire frames, including OBJ support.

▶ Cloth Simulation

Physics-based cloth simulation using mass-spring systems and numerical integration. GitHub

▶ Z5N Framework

z5n.netlify.app - Webapp for productivity and pomodoro timers.

▶ Phase Plot Visualizer

phaseplot.netlify.app - Interactive 2/3D phase portrait visualization tool for dynamical systems.

▶ Lorentz Attractor

lorentz.netlify.app - Visualization of the Lorentz strange attractor and chaotic systems.

▶ Everything Iceberg

LLM powered Graph based search engine for exploring topics and recommending learning resources. GitHub

▶ PromptCraft

Interactive prompt engineering tool with real-time visualization and optimization.

▶ AGeoSite

Geographic data visualization and analysis platform capable of city-wide simulations. Live Site