---
title: "Eric D. Siggia"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Eric D. Siggia"
aliases: ["Eric Siggia","E. D. Siggia","Siggia"]
first_seen: "2026-07-27T00:00:00.000Z"
writer_model: "claude-opus-4-8"
connects_to: ["Waddington landscape reconstruction","single-cell developmental biophysics","Fokker–Planck / dynamical-systems landscapes","James Briscoe (collaborator)","attractors and cell fate"]
---


Theoretical biophysicist (Rockefeller University, Center for Studies in Physics
and Biology) working on quantitative, geometric models of development. He earns a
hub because he is the corresponding-author name attached to the vault's *live*
Waddington-landscape seam: the 2025 method that fits developmental landscapes
directly to high-dimensional single-cell data, extending a thread the vault had
otherwise only met as 2016-era Hopfield-network formalism. The vault's open
question on that work was raised under his name
([[question-siggia-2025-reconstructs-waddington-landscape-single-cell]]) before
the paper was read.

His 2025 *PNAS* paper "Reconstructing Waddington's Landscape from Data" (with
Dillon J. Cislo, M. Joaquina Delás, and James Briscoe — Briscoe supplies the
ventral-neural-tube experimental substrate) reframes
Waddington's picture as a Fokker–Planck flow fitted on points sampled straight
from measured gene expression, rather than on a hand-built low-dimensional proxy.

## References
- [[claim-cislo-siggia-2025-fit-waddington-landscape-directly-to-single-cell-gene-expression]] — the direct-fit framework (answers the open question)
- [[claim-cislo-siggia-2025-landscape-from-discretized-fokker-planck-on-sampled-data-points]] — the mechanism
- [[claim-cislo-siggia-2025-validated-on-real-mesc-neural-tube-flow-and-rnaseq-data]] — validation on real flow-cytometry and scRNA-seq data
- Related landscape thread: [[claim-hopfield-network-formalizes-waddington-epigenetic-landscape]] · [[claim-2016-hopfield-landscape-paper-not-first-cell-fate-attractor-model]]