Reading

Philosophy & Non-Fiction

• Behave: The Biology of Humans at Our Best and Worst

  Robert Sapolsky

• Thinking, Fast and Slow

  Daniel Kahneman

• Deep Work

  Cal Newport

• Notes from Underground

  Fyodor Dostoevsky

• Ethics

  Baruch Spinoza

• The Human Condition

  Hannah Arendt

• Man's Search for Meaning

  Viktor Frankl

Scientific Textbooks

• The Elements of Statistical Learning

  Hastie, Tibshirani, Friedman

• Probabilistic Graphical Models

  Daphne Koller, Nir Friedman

• Deep Learning

  Goodfellow, Bengio, Courville

• Modern Statistics for Modern Biology

  Holmes, Huber

• Statistics for High-Dimensional Data

  Bühlmann, van de Geer

• An Introduction to Systems Biology

  Uri Alon

• Molecular Biology of the Cell

  Alberts et al.

Key Papers & AI Foundations

• ReAct: Synergizing Reasoning and Acting in Language Models

  Yao et al. · 2022

• Toolformer: Language Models Can Teach Themselves to Use Tools

  Schick et al. · 2023

• Generative Agents: Interactive Simulacra of Human Behavior

  Park et al. · 2023

• Semi-Supervised Classification with Graph Convolutional Networks

  Kipf & Welling · 2017

• Graph Attention Networks

  Velickovic et al. · 2017

• Inductive Representation Learning on Large Graphs (GraphSAGE)

  Hamilton et al. · 2017

• Attention Is All You Need

  Vaswani et al. · 2017

• Auto-Encoding Variational Bayes (VAE)

  Kingma, Welling · 2013

• Diffusion Pseudotime

  Haghverdi et al. · 2016

• scGen: predicts single-cell perturbation responses

  Lotfollahi et al. · 2019

• A common coordinate framework for spatial transcriptomics

  Ghazanfar et al. · 2020

• RNA velocity of single cells

  La Manno, Theis et al. · 2018

• Generalizing RNA velocity to transient cell states (scVelo)

  Bergen, Theis et al. · 2020