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

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.

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)