Teaching Tools #
Concept visualizers I built for my Creative Coding and Physical Computing students.
Probability & Statistics #
Foundations, estimation, and dependence. Visualizations I built while working these out for myself.
These pages aren't a complete or standard treatment of the subject. Each sits at the intersection of a topic from coursework, a topic I wanted to study more closely, and a topic I thought an interactive figure could make more accessible. All are works in progress — not externally reviewed, and in places I haven't finished checking the implementation against the math.
Information Theory #
Surprise, divergence, and the geometry of distributions. Visualizations I built while working these out for myself.
Unlike the coursework sections, these pages aren't tied to a class — they're topics I studied on my own. Like everything here, they're works in progress, not externally reviewed.
Random Processes #
Stochastic processes in time, frequency, and function space. Visualizations I built while working these out for myself.
Topics guided by (but not strictly following) Prof. Ercan Kuruoğlu's Fall 2025 Random Processes course at Tsinghua SIGS.
These pages aren't a complete or standard treatment of the subject. Each sits at the intersection of a topic from coursework, a topic I wanted to study more closely, and a topic I thought an interactive figure could make more accessible. All are works in progress — not externally reviewed, and in places I haven't finished checking the implementation against the math.
Bayesian Inference #
Approximating intractable posteriors by sampling and by optimization. Visualizations I built while working these out for myself.
Material draws on Prof. Ercan Kuruoğlu's Spring 2026 Bayesian Inference and Monte Carlo Simulation course at Tsinghua SIGS.
These pages aren't a complete or standard treatment of the subject. Each sits at the intersection of a topic from coursework, a topic I wanted to study more closely, and a topic I thought an interactive figure could make more accessible. Some also take a more measure-theoretic angle than the course, or than a typical introduction. All are works in progress — not externally reviewed, and in places I haven't finished checking the implementation against the math.