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)