Euan Joly-Smith

Euan Joly-Smith

Postdoctoral Researcher

van Oudenaarden group

Hubrecht Institute

A theoretical physicist pursuing quantitative principles of biology through mathematics, experiments, and single-cell genomics.

I am trained in many mathematical disciplines including stochastic processes, information theory, and computational modelling. More recently, I have expanded my toolkit to single-cell and single-molecule sequencing, developing computational and mathematical approaches to extract quantitative information from large genomic datasets. Along the way, I have also picked up experimental skills including cloning synthetic gene circuits in bacteria, time-lapse fluorescence microscopy, and microfluidics.

A recurring idea in my research is that biological variability can be exploited as a source of information rather than treated simply as noise. During my PhD, I developed generalized mathematical constraints that characterize broad classes of biochemical reaction networks. These constraints can be combined with gene expression reporters to infer causal and dynamic properties of gene regulatory networks from population snapshots of naturally occurring gene expression variability. I then transitioned to the alluring world of experimental biology and engineered many variants of the celebrated Repressilator gene circuit to put these ideas into practice.

I now bring the same philosophy to single-cell genomics. In my postdoctoral work, I develop quantitative approaches that exploit variation in sequencing data to uncover biological properties that are otherwise difficult to observe. In particular, I helped develop SCISSOR (Single-Cell Inference of Structural States Of Ribosomes), which uses cell-to-cell variation in rRNA protection patterns to infer the structural and functional states of ribosomes in individual cells. In parallel, I develop physical models and computational approaches for analysing single-cell and long-read Nanopore measurements of chromatin organization.

I am always excited to share my research in person or via Zoom, and have been fortunate to present my work at conferences and research groups across North America and Europe.

I obtained a BSc. in Honours Physics and Mathematics from McGill University in 2017, a MSc. in Physics from the University of Toronto in 2019, and a PhD in Physics from the University of Toronto in 2024 advised by Andreas Hilfinger. Currently I am a postdoc in the lab of Alexander van Oudenaarden.

Publications & Preprints

(2026). Single-Cell Inference of Structural States Of Ribosomes. biorxiv.

PDF Link

(2025). Exploiting fluctuations in gene expression to detect causal interactions between genes. eLife.

PDF Link

(2023). Measuring prion propagation in single bacteria elucidates mechanism of loss. PNAS.

PDF Link

(2021). Inferring gene regulation dynamics from static snapshots of gene expression variability. PRE.

PDF Link Blog

Presentations


Single cell genomics 2026, September 2026
SCISSOR - Single-Cell Inference of Structural States Of Ribosomes.
Poster presentation.

Advances in Single-Cell Technologies, December 2025
Global translation states revealed at single-cell resolution.
Poster presentation.

Single cell genomics 2025, September 2025
Quantifying ribosomal states in single-cells with scRibo-seq.
Poster presentation.

EMBL Conference. The expanding world of RBPs - from posttranscriptional control to riboregulation, March 2025
Quantifying ribosomal states in single-cells with scRibo-seq.
Poster presentation.

University of Manchester Developmental Biology Seminar, January 2024
Exploiting fluctuations in gene expression to detect causal interactions between genes.
Invited talk.

APS March Meeting, March 2023
Exploiting stochastic fluctuations in gene expression to infer interactions between genes.
Contributed talk (APS Travel Award).

Biophysique Quebec 2nd Annual Symposium, October 2022
Exploiting stochastic fluctuations in gene expression to infer interactions between genes.
Contributed talk.

Canadian Association of Physicists congress, June 2022
Inferring causality in gene regulation from static snapshots of gene expression variability.
Contributed Talk.

Annual Meeting of the Biophysical Society of Canada, May 2022
Inferring gene regulation dynamics from static snapshots of gene expression reporters.
Contributed poster presentation with talk at student symposium (BSC Best Poster Award).

Quantitative Approaches in Biology at Northwestern University, March 2022
Fluorescence maturation time: a nuisance or a feature?
Contributed lightning talk and poster presentation.

APS March Meeting, March 2022
Inferring gene regulation from static snapshots of gene expression variability.
Contributed talk.

Winter q-bio, February 2022
Inferring gene regulation from static snapshots of gene expression variability.
Contributed talk.

BiophysiQ Molecular and Cellular Biophysics Virtual Mini-Symposium, November 2021
Fluorescent maturation time: is it a bug or a feature?
Contributed talk.

BactoMontreal 2021 meeting, October 2021
Inferring gene regulation dynamics from static snapshots of gene expression variability.
Poster presentation.

EMBO workshop on Physics of Living Systems : From Molecules to Tissues, June 2021
Inferring gene regulation dynamics from static snapshots of gene expression reporters.
Contributed talk.

Annual Meeting of the Biophysical Society of Canada,May 2021
Inferring gene regulation dynamics from static snapshots of gene expression variability.
Poster presentation.

RIP Graduate Seminar at the University of Toronto Mississauga, October 2021
Inferring gene regulation dynamics from static snapshots of gene expression reporters.
Invited talk.

Canadian Association of Physicists Virtual Congress, June 2020
Characteristic variability of co-regulated genes.
Contributed talk.

Annual Meeting of the Biophysical Society of Canada, June 2019
Characteristic variability of co-regulated genes.
Poster presentation.