What I write

My best writings are in theoretical biology. I take concepts that are easily mixed up and I separate them.

• My Tracer-seq discussion separates clonal trees from lineage trees.
• My critique of Perturb-ATAC separates genetic interactions from statistical interactions.

What I read

Curiosities

• Maciej Ceglowski on scurvy and internet ads.
• Donat Studios for software engineering tidbits, especially this raucous post about CSV’s
• Bits About Money
• Jake VanderPlas on Python for data science, especially this excellent conda myth debunker.
• The Online Etymology Dictionary by Douglas Harper.
• Gwern Branwen’s amazing monthly reading lists on AI and human genetics. He also writes about all sorts of things such as why are girl scout cookie prices outpacing inflation?. He follows problems with superhuman persistence.
• Slate Star Codex contains diverse, fascinating essays, but what hooked me at first was the cost disease post.
• Edward Tufte’s “Visual Explanations: Images and Quantities, Evidence and Narrative” on the Challenger disaster and the Broad Street cholera outbreak
• Stephen M. Hedrick on disease ecology
• This hilarious preprint on arguments against the possibility of artificial general intelligence
• Matt Lakeman, a modern-day Ibn Battuta

Technical matters

• CodingHorror on programming effectively
• Julia Evans on being delighted to do it and on effective debugging.
• John Cook on math, stats, and programming
• whuber on diverse statistical questions, including the infamous Broad Street pump.
• ttnphs on visualizing CCA.

Music

• Soumik Datta on sarod
• Will Kimball on trombone history
• Elizabeth Kenny on theorbo