Summaries
Long-form HTML explainers and study guides generated in conversation with Claude and other large language models. Each card links to a standalone page with its own styling.
Thinking in Distributions — An Introductory Course in Bayesian Statistics
A from-scratch course in Bayesian statistics, building from Bayes' rule up to applied probabilistic modeling. Covers priors, likelihoods, and posteriors, sequential belief updating, MCMC when the math runs out, Bayesian regression, and a full A/B test worked end to end — with live demos to poke at along the way.
Read ↗Cell Identity, Plasticity, and the Predictive Epigenome
A working guide to the epigenome as a regulatory layer — methylation, histone marks, gene regulatory networks, cancer plasticity, and the current generation of sequence-to-function and chromatin-prediction models. Includes a six-week study plan and an essential reading list.
Read ↗