Computational Psychiatry: Reinforcement Learning and the Code Behind the Brain's Decisions
An engineer-friendly introduction to Reinforcement Learning in Computational Psychiatry: how Q-learning works, how the brain might implement similar algorithms, and what this means for understanding mental health disorders.
Predictive Minds: How Our Brains Code the Future (and Why it Matters for AI)
An accessible, engineer-friendly introduction to Predictive Coding: how the brain predicts the future, why prediction errors matter, and what this means for AI, robotics, and intelligent systems.
Perception, Beliefs, and the Hierarchical Gaussian Filter
A practical introduction to the Hierarchical Gaussian Filter (HGF) in computational psychiatry—how it models human perception, belief updating, and learning under uncertainty, with intuitive explanations for software engineers.
CPC Afterburn: The Code Behind the Brain
A software engineer's deep dive into the core computational models that power modern psychiatry, exploring how code, math, and neuroscience come together to decode the brain's mysteries.
Introduction to CPC Afterburn: A Software Engineer's Take on Computational Psychiatry
A software engineer's journey through the 2025 Computational Psychiatry Course in Zurich, exploring how computational models and systems thinking can be applied to understanding the human mind and psychiatric research.
Embedding an All-Seeing AI Agent
How we built an AI agent that can see and understand visual content, opening new possibilities for intelligent automation and assistance.
Building Real-Time AI Streaming Services with AWS Lambda and Architect
A deep dive into building scalable, production-ready AI chat services with real-time streaming using AWS Lambda, Architect, and Vercel's AI SDK. Learn about architecture, local development, deployment strategies, and cost optimization for modern AI applications.