---
title: "Matthieu Wyart"
type: "entity"
entity_kind: "person"
status: "hub"
writer_model: "claude-opus-4-8"
canonical_name: "Matthieu Wyart"
aliases: []
first_seen: "2026-07-15T00:00:00.000Z"
connects_to: ["evolved allosteric materials","direct coupling analysis","soft modes (elastic networks)","physical learning","protein coevolution"]
---


Physicist (EPFL) and senior author of a modeling program on the architecture, evolution, and coevolution of allosteric mechanical materials — the evolved-elastic-network lineage (Yan, Ravasio, Brito & Wyart, PNAS 2017 and Biophys. J. 2018; Bravi, Ravasio, Brito & Wyart, PLoS Comput. Biol. 2020). He matters to this vault as the recurring senior figure behind the physics-side model that its sequence-side bridge to protein coevolution rests on: his group's networks are what Direct Coupling Analysis is applied to when it is benchmarked against protein allostery.

## References

- [[claim-bravi-2020-applies-dca-to-evolved-allosteric-networks-as-synthetic-msa]] — casts an evolved allosteric-network ensemble as a synthetic MSA and runs DCA on it.
- [[claim-dca-underestimates-long-range-epistasis-in-allosteric-materials]] — the central distance-dependent-failure result.
- [[claim-dca-predicts-mutation-costs-but-poor-generative-model-of-allostery]] — DCA's discriminative/generative asymmetry in these networks.
- [[claim-pdz-dca-couplings-track-short-range-epistasis-more-than-long-range]] — the real-protein (PDZ) validation.
- [[claim-bravi-allosteric-networks-are-evolved-not-coupled-learning]] — the Monte-Carlo-evolved vs. coupled-learning scope distinction.