Reading List
A curated collection of literature, manuscripts, and philosophical foundations.
Philosophy & Non-Fiction
Behave: The Biology of Humans at Our Best and Worst
Robert Sapolsky- Daniel Kahneman
- Cal Newport
- Fyodor Dostoevsky
- Baruch Spinoza
- Hannah Arendt
- Viktor Frankl
Scientific Textbooks
The Elements of Statistical Learning
Hastie, Tibshirani, FriedmanProbabilistic Graphical Models
Daphne Koller, Nir Friedman- Goodfellow, Bengio, Courville
Modern Statistics for Modern Biology
Holmes, HuberStatistics for High-Dimensional Data
Bühlmann, van de GeerAn Introduction to Systems Biology
Uri Alon- Alberts et al.
Key Papers & AI Foundations
ReAct: Synergizing Reasoning and Acting in Language Models
Yao et al. / 2022Toolformer: Language Models Can Teach Themselves to Use Tools
Schick et al. / 2023Generative Agents: Interactive Simulacra of Human Behavior
Park et al. / 2023Semi-Supervised Classification with Graph Convolutional Networks
Kipf & Welling / 2017- Velickovic et al. / 2017
Inductive Representation Learning on Large Graphs (GraphSAGE)
Hamilton et al. / 2017- Vaswani et al. / 2017
Auto-Encoding Variational Bayes (VAE)
Kingma, Welling / 2013- Haghverdi et al. / 2016
scGen: predicts single-cell perturbation responses
Lotfollahi et al. / 2019A common coordinate framework for spatial transcriptomics
Ghazanfar et al. / 2020- La Manno, Theis et al. / 2018
Generalizing RNA velocity to transient cell states (scVelo)
Bergen, Theis et al. / 2020