A curated list of books, articles, and resources that have inspired or contributed to my learning journey.
Books
Thinking, Fast and Slow by Daniel Kahneman
On the two systems of thinking and the biases that shape everyday decisions.
The Book of Why by Judea Pearl and Dana Mackenzie
An introduction to causal reasoning and why correlation is not causation.
Mostly Harmless Econometrics by Joshua D. Angrist and Jörn-Steffen Pischke
An empiricist's companion to research design and applied econometrics.
How We Learn by Stanislas Dehaene
On how the brain learns, and what that means for education.
Early Indians by Tony Joseph
The story of our ancestors and where we came from, told through genetics and archaeology.
Deep Work by Cal Newport
Rules for focused success in a distracted world.
Why We Sleep by Matthew Walker
What sleep does for memory, health, and performance.
Why We Die by Venki Ramakrishnan
The biology of ageing and why we die.
The Road Less Travelled by M. Scott Peck
A new psychology of love, traditional values, and spiritual growth.
Articles
- Woodrow, L. (2026, April 16). The nine-to-five PhD: Mere myth or an achievable goal? Nature.
- Weissbart, G. (2025, April 16). You’re only human: A six-step strategy to surviving your PhD. Nature.
- Kócsi, Z. (2022, April 1). Why I got a PhD at age 61. Nature.
- Temple, J. (2025, January 2). Why EVs are (mostly) set for solid growth in 2025. MIT Technology Review.
- Heaven, W. D. (2026, June 11). Google DeepMind is worried about what happens when millions of agents start to interact. MIT Technology Review.
- O’Donnell, J. (2026, June 29). AI agents are not your “coworkers.” MIT Technology Review.
- Farnam Street. (n.d.). Mental models: The best way to make intelligent decisions. Farnam Street.