Professor research guide

Rob Phillips

Research using quantitative experiments, statistical mechanics, information theory, nonequilibrium physics, and large-scale biological measurements to discover predictive principles in gene regulation, biological fidelity, active matter, and viral ecology.

Independent educational guide. Not affiliated with or endorsed by the universities, professors or laboratories described here. This collection reflects the material currently mapped on Socratic Learn.

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Research primer

Physical Biology: From Gene Regulation to Living Matter

6 lessons · ~29 minutes

Count, model, predict, measure, and revise: a video-first introduction to gene regulation, regulatory genomics, biological fidelity, active matter, and quantitative viral ecology.

Watch videos
  1. 01How does a physicist think about a living cell?
  2. 02Can statistical mechanics predict gene expression?
  3. 03Decoding the genomic Rosetta Stone
  4. 04Why does life spend energy to avoid mistakes?
  5. 05Active matter: when molecules build moving materials
  6. 06Viruses, ecology, and the search for quantitative biological laws

Key concepts

Active matter and molecular motor energy consumption

Identify local energy consumption in active materials.

Binding energy, occupancy, fold-change, and allostery

Connect copy number, binding energy, fold-change, and ligand-dependent allostery.

Biological fidelity, energy expenditure, and error correction

Explain why fidelity requires mechanism-specific coupling and evidence.

Biological numeracy, scale, and order-of-magnitude reasoning

Estimate biological quantities with units and order-of-magnitude reasoning.

Coarse-graining and predictive minimal models

Distinguish a minimal model, a fitted parameter, and a prospective prediction.

Collective microtubule–motor dynamics and emergence

Connect motor interactions to emergent microtubule dynamics and measurements.

Equilibrium versus nonequilibrium biological processes

Distinguish equilibrium discrimination from driven processes.

From measurement to model across biological scales

Apply measurement-to-model reasoning while preserving causal limits.

Information footprints and regulatory-architecture inference

Interpret information footprints without claiming protein identification.

Quantitative viral genomics and bacteriophage ecology

Interpret viral-genomics and phage-ecology observations within their dataset.

Regulatory DNA and massively parallel sequence-to-expression measurement

Explain sequence-to-expression reporter measurements.

Statistical mechanics of transcriptional regulation

Relate statistical weights to occupancy under stated assumptions.

Important papers

2026

Dynamics of inducible genetic circuits

Yang Z, Rousseau RJ, Mahdavi SD, Garcia HG, Phillips R

Why this matters: PHILLIPS-LAB PRIMARY RESULT: published circuit dynamics connect molecular regulation to dynamical models.

2026

Evolution of error correction through a need for speed

Ravasio R, Husain K, Evans CG, Phillips R, Ribezzi-Crivellari M, Szostak JW, Murugan A

Why this matters: COLLABORATIVE PRIMARY RESULT: published Murugan-led models and selection simulations, with polymerase data consistent with the hypothesis; not universal proofreading.