Books

“Any brain worth a nickel knows books are good for us.”
- Kurt Vonnegut

A non-exhaustive list of things I’ve been reading (since ~2020)…

Fiction

  • Portrait of an Artist as a Young Man (James Joyce)
  • The Plot Against America (Philip Roth)
  • The Sun Also Rises (Ernest Hemingway)
  • How High We Go in the Dark (Sequoia Nagamatsu)
  • Welcome to the Monkey House (Kurt Vonnegut)
  • American Pastoral (Philip Roth)
  • The Candy House (Jennifer Egan)
  • Snow Flower and the Secret Fan (Lisa See)
  • Exit West (Mohsin Hamid)
  • The Sirens of Titan (Kurt Vonnegut)
  • Galapagos (Kurt Vonnegut)
  • Inferno (Dan Brown)
  • A Visit From the Goon Squad (Jennifer Egan)
  • Catch 22 (Joseph Heller)
  • Anna Karenina (Leo Tolstoy)

Non-fiction

  • The Worlds I See (Fei Fei Li)
  • Surely You’re Joking, Mr. Feynman (Richard Feynman)
  • The Book of Why (Judea Pearl and Dana Mackenzie)
  • Models of the Mind (Grace Lindsay)
  • Ethical Algorithms (Michael Kearns and Aaron Roth)
  • The Glass Castle (Jeannette Walls)
  • Man’s Quest for God (Abraham Joshua Heschel)
  • The Signal and the Noise (Nate Silver)
  • An Unquiet Mind: A Memoir of Moods and Madness (Kay Jamison)
  • The Fabric of the Cosmos: Space, Time, and the Texture of Reality (Brian Greene)
  • A Brief History of Time (Stephen Hawking)

Academic / Educational Texts

  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Bernhard Scholkopf and Alexander J. Smola)
  • Testing Statistical Hypotheses (E.L. Lehmann and Joseph P. Romano)
  • Patterns, Predictions, and Actions (Moritz Hardt and Benjamin Recht)
  • Probability: Theory and Examples (Rick Durrett)
  • Deep Learning (Ian Goodfellow, Yoshua Bengio, and Aaron Courville)
  • An Introduction to Computational Learning Theory (Michael Kearns and Umesh Vazirani)
  • Bayesian Data Analysis (Andrew Gelman)
  • Statistical Rethinking (Richard McElreath)