Books, papers, and people that shape my thinking.
A living collection of the things I find myself coming back to.
Mentors & teachers
people who taught me how to do the work
Researchers I learn from
whose papers and talks I keep returning to
Andrew Ng
Coursera ML & deep learning courses
Andrej Karpathy
CS231n, Tesla AI, neural net pedagogy
Kaiming He
ResNet, MAE, Mask R-CNN — MIT CSAIL
Fei-Fei Li
ImageNet, Stanford HAI
Yann LeCun
Meta AI / NYU — Turing Award
Geoffrey Hinton
Backprop, deep learning — Nobel Physics 2024
Demis Hassabis
DeepMind co-founder, AlphaFold
Richard Sutton
Reinforcement learning — Turing Award 2024
Ross Girshick
R-CNN family, object detection
Christopher Manning
Stanford NLP
Podcasts I listen to
for the commute and the long runs
Newsletters I read
things in my inbox by choice
Blogs & communities
where ideas are debated, refined, and shared
Let's get in touch
Drop me a message about anything.
