Following One Pattern Across A Decade: Architecture > Processing > Behavior
How the same question about information processing connects everything I've built—from neural systems to ML models to simulated worlds
Blog
Technical deep-dives, design decisions, and occasional reflections on building systems that model minds.
Choosing Not to Weaponize Cognitive Science
Most modern technology uses cognitive science to extract attention, not to improve human experience.
Epoche: Why ML Interpretability Needs Storytellers, Not Just Engineers
Models Can Tell Stories, Though We Need Better Storytelling Tools
What I Have Learned from Years Working with "Black Boxes"
Principles for building systems you can actually understand, debug, and trust
Bridging Neuroscience and Platform Development
How studying brains and behavior as a neuroscientist has shaped how I build across the full stack
From Research Pipelines to Production: Lessons from Both Worlds
Lessons learned from years operating across different engineering worlds
BABEL: Why We Translate Instead of Generate
Why I choose to use LLM's for what they are best at (and only that)
MUSE: How Fighting Game Engines Led Me to Build a 'Being' Simulator
How giving up on game engines led to a simulation platform for modeling perception, memory, and decision-making
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