Biotech

Books

• G. Church et al: Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves (2012)
• Nick Lane: The Vital Question: Energy, Evolution, and the Origins of Complex Life (2015)

Surveys

• A. Glielmo et al: Unsupervised Learning Methods for Molecular Simulation Data, Chem. Review (2021)

Forums

• Biostars
• Neurostars

Papers

• Yuri Lazebnick: Can a biologist fix a radio?— Or, what I learned while studying apoptosis (2002)
• H. Fraser et al: Safety of patient-facing digital symptom checkers, Lancet (2018)
• A. Dhir, C. M. Lee: Integrating overlapping datasets using bivariate causal discovery (2019)

Reports

• MIT Tech Review:
  • AI is dreaming up drugs that no one has ever seen. Now we’ve got to see if they work. (2023)
  • An algorithm that can spot cause and effect could supercharge medical AI (2020)
  • Your next doctor’s appointment might be with an AI (2018)

Interviews

• Lex Fridman Podcast
  • #133: Manolis Kellis: Biology of Disease (2020)
  • #142: Manolis Kellis: Meaning of Life, the Universe, and Everything (2020)
  • #325: Michael Levin: Biology, Life, Aliens, Evolution, Embryogenesis & Xenobots (2022)
  • #373: Manolis Kellis: Evolution of Human Civilization and Superintelligent AI (2022)

Software stacks

• Matlab/Simulink
  • Can be integrated in Databricks to run at scale, but would be expensive to approach this way
• Schrodinger
• Amber
  • Amber22

People

• Michael Levin: “Biophysical mechanisms that implement decision-making during complex pattern regulation, and harnessing endogenous bioelectric dynamics toward rational control of growth and form.”
  • The Levin Lab, FAQ
  • Michael Levin Book Recommendations: Top picks for books in the life sciences

Other

• Artificial Intelligence
• Cloud Data Platform
• Cognitive Science
• Computation Theory
• GPUs
• Healthcare
• Digital Health
• Language Models
• Meta Learning
• MLOps
• Probabilities and Statistics
• Robotics
• Self Driving Cars
• Computational Topology