Thierry Emonet
Lewis B. Cullman Professor of Molecular, Cellular and Developmental Biology and Professor of PhysicsCards
Contact Info
About
Titles
Lewis B. Cullman Professor of Molecular, Cellular and Developmental Biology and Professor of Physics
Biography
Thierry Emonet is a Professor of Molecular Cellular and Developmental Biology & Physics at Yale University. His research combines mathematical modeling and quantitative experiments to understand the biological computations that enable organisms to sense and navigate their chemical environments. As model systems, his lab uses bacterial chemotaxis and fly olfaction, in which they can make multi-scale measurements and compare to quantitative mathematical models. Navigation requires performing many non-trivial computations and can be quantified precisely. The Emonet lab exploits this quantitative framework for discovering how biological systems compute, and how computations are implemented in molecular and cellular mechanisms. Before coming to Yale in 2007, Thierry studied physics at the ETH Zürich. He received his PhD (cum laude) in theoretical astrophysics from the University of La Laguna (Spain) in 1998, before doing postdocs at the National Center for Atmospheric Research, Boulder CO and The University of Chicago, discovering key mechanisms that enable magnetic field to float to the surface of the Sun to create Sunspots. During his postdoc Thierry became fascinated with the question of where individuality comes from and what is its functional role in life and he switched to biology. His work is supported by NIH, NSF, the Paul G Allen Family Foundation (Distinguished Allen Investigator), the Whitehall Foundation, the James S. McDonnell Foundation and the Alfred P. Sloan Foundation. Outside of science, Thierry’s main interest is art. He grew up at the intersection of science and art and he is married to renowned sculptor Susan Clinard
Appointments
Departments & Organizations
- Biochemistry, Quantitative Biology, Biophysics and Structural Biology (BQBS)
- Center for Biomedical Data Science
- Interdepartmental Neuroscience Program
- Molecular Cell Biology, Genetics and Development
- Neuroscience Track
- Swartz Program in Theoretical Neurobiology
- Wu Tsai Institute
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Ventures
Research
Overview
ORCID
0000-0002-6746-6564- View Lab Website
Emonet Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Scott Holley, PhD
Barbara Kazmierczak, MD, PhD
Damon Clark, PhD
Ivan Surovtsev
Publications
2024
Physics of bacterial chemotaxis
Moore J, Emonet T. Physics of bacterial chemotaxis. Current Biology 2024, 34: r972-r977. PMID: 39437738, DOI: 10.1016/j.cub.2024.05.054.Peer-Reviewed Original ResearchAltmetricSignal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis
Moore J, Kamino K, Kottou R, Shimizu T, Emonet T. Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis. Cell Systems 2024, 15: 628-638.e8. PMID: 38981486, PMCID: PMC11307269, DOI: 10.1016/j.cels.2024.06.003.Peer-Reviewed Original ResearchCitationsAltmetricConceptsEscherichia coli chemotaxisPopulation of E. coliMeasure kinase activityPhenotypic diversitySensory diversityDecreased diversityKinase activityDiverse phenotypesChemical signalsDiversitySingle cellsResponse to changesCellsSignalPhenotypePopulationChemotaxisSignal integrityLigandCompetitive ligandChemoattractantOlfactory cues and memories in animal navigation
Emonet T, Vergassola M. Olfactory cues and memories in animal navigation. Nature Reviews Physics 2024, 6: 215-216. PMID: 39166103, PMCID: PMC11331761, DOI: 10.1038/s42254-024-00710-7.Peer-Reviewed Original ResearchCitationsAltmetricConceptsDirect measurement of dynamic attractant gradients reveals breakdown of the Patlak–Keller–Segel chemotaxis model
Phan T, Mattingly H, Vo L, Marvin J, Looger L, Emonet T. Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak–Keller–Segel chemotaxis model. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2309251121. PMID: 38194458, PMCID: PMC10801886, DOI: 10.1073/pnas.2309251121.Peer-Reviewed Original ResearchCitationsAltmetric
2023
Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments
Jayaram V, Sehdev A, Kadakia N, Brown E, Emonet T. Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments. PLOS Computational Biology 2023, 19: e1010606. PMID: 37167321, PMCID: PMC10205008, DOI: 10.1371/journal.pcbi.1010606.Peer-Reviewed Original ResearchCitationsAltmetricOptimal inference of molecular interaction dynamics in FRET microscopy
Kamino K, Kadakia N, Avgidis F, Liu Z, Aoki K, Shimizu T, Emonet T. Optimal inference of molecular interaction dynamics in FRET microscopy. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2211807120. PMID: 37014867, PMCID: PMC10104582, DOI: 10.1073/pnas.2211807120.Peer-Reviewed Original ResearchCitationsAltmetric
2022
Odour motion sensing enhances navigation of complex plumes
Kadakia N, Demir M, Michaelis B, DeAngelis B, Reidenbach M, Clark D, Emonet T. Odour motion sensing enhances navigation of complex plumes. Nature 2022, 611: 754-761. PMID: 36352224, PMCID: PMC10039482, DOI: 10.1038/s41586-022-05423-4.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsRobot navigationVirtual agentsEffective navigationMultiple featuresMultiple streamsNavigationUncertain environmentMotion sensingVirtual reality paradigmTemporal correlationDirectional informationNavigational decisionsInformationComplex plumesSensingAlgorithmSensory inputInputParadigmSearchEnvironmentStreamsGeneralityWhere is that smell coming from?
Brudner S, Emonet T. Where is that smell coming from? ELife 2022, 11: e82635. PMID: 36125436, PMCID: PMC9489204, DOI: 10.7554/elife.82635.Commentaries, Editorials and LettersAltmetricMeSH KeywordsCollective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments
Mattingly H, Emonet T. Collective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2117377119. PMID: 35727978, PMCID: PMC9245662, DOI: 10.1073/pnas.2117377119.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNongenetic inheritanceCollective migrationPhenotype compositionIsogenic populationsDifferential lossSwimming phenotypeCell divisionBacterial populationsCell growthMultiple environmentsPhenotypePhenotypic compositionDifferent phenotypesInheritanceChemotactic bacteriaModel systemHigh inheritanceMigration speedDifferent environmentsNew environmentCollective behaviorMigrationPopulationGrowthDiversitySensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes
Jayaram V, Kadakia N, Emonet T. Sensing complementary temporal features of odor signals enhances navigation of diverse turbulent plumes. ELife 2022, 11: e72415. PMID: 35072625, PMCID: PMC8871351, DOI: 10.7554/elife.72415.Peer-Reviewed Original ResearchCitationsAltmetric