Simons Foundation

The Simons Foundation have generously granted the Isaac Newton Institute an endowment to support visits from pre-eminent mathematicians around the world. These mathematicians give keynote seminars at the Institute and give lectures around the UK. A listing of all Simons Foundation supported mathematicians, together with the programmes they will participate in, is provided below.

2020

Michel Broué	Université Paris 7 – Denis-Diderot	Groups, representations and applications: new perspectives
Peter Cameron	University of St Andrews	Groups, representations and applications: new perspectives
Radha Kessar	University of London	Groups, representations and applications: new perspectives
Martin Liebeck	Imperial College London	Groups, representations and applications: new perspectives
Colva Roney-Dougal	University of St Andrews	Groups, representations and applications: new perspectives
Britta Späth	Bergische Universität Wuppertal	Groups, representations and applications: new perspectives
Pham Tiep	Rutgers	Groups, representations and applications: new perspectives
Alexey Ananyevskiy	Saint Petersburg State University	K-theory, algebraic cycles and motivic homotopy theory
Patrick Brosnan	University of Maryland	K-theory, algebraic cycles and motivic homotopy theory
Nicolas Garrel	University of Alberta	K-theory, algebraic cycles and motivic homotopy theory
Amalendu Krishna	Tata Institute of Fundamental Research	K-theory, algebraic cycles and motivic homotopy theory
Amnon Neeman	Australian National University	K-theory, algebraic cycles and motivic homotopy theory
Gregory Pearlstein	Texas A&M University	K-theory, algebraic cycles and motivic homotopy theory
Leila Schneps	Institut de Mathématiques de Jussieu	K-theory, algebraic cycles and motivic homotopy theory

2019

Janusz Bialek	Skolkovo Institute of Science and Technology	The mathematics of energy systems
Michael Ferris	University of Wisconsin-Madison	The mathematics of energy systems
John Moriarty	Queen Mary University of London	The mathematics of energy systems
Florentina Paraschiv	NTNU	The mathematics of energy systems
Andy Philpott	University of Auckland	The mathematics of energy systems
Pierre Pinson	Danmarks Tekniske Universitet	The mathematics of energy systems
Almut Veraart	Imperial College London	The mathematics of energy systems
Louis Wehenkel	Université de Liège	The mathematics of energy systems
Stan Zachary	Heriot-Watt University	The mathematics of energy systems
Feng Dai	University of Alberta	Approximation, sampling and compression in data science
Dũng Dinh	Vietnam National University	Approximation, sampling and compression in data science
Aicke Hinrichs	Johannes Kepler Universität	Approximation, sampling and compression in data science
Boris Kashin	Steklov Mathematical Institute	Approximation, sampling and compression in data science
Geno Nikolov	Sofia University	Approximation, sampling and compression in data science
Vladimir Temlyakov	University of South Carolina	Approximation, sampling and compression in data science
Sergey Tikhonov	ICREA	Approximation, sampling and compression in data science
John Ball	Heriot-Watt University	The mathematical design of new materials
Carme Calderer	University of Minnesota	The mathematical design of new materials
Xian Chen	Hong Kong University of Science and Technology	The mathematical design of new materials
Richard James	University of Minnesota	The mathematical design of new materials
Miha Ravnik	University of Ljubljana	The mathematical design of new materials
Valeriy Slastikov	University of Bristol	The mathematical design of new materials
Margarida Telo da Game	Universidade de Lisboa	The mathematical design of new materials
Arghir Zarnescu	Basque Center for Applied Mathematics	The mathematical design of new materials
Victor Adukov	South Ural State University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Elena Luca	University of California, San Diego	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Gennady Mishuris	Aberystwyth University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Michael Nieves	Keele University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Sergei Rogosin	Belarusian State University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Andrey Shanin	Moscow State University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Leonid Slepyan	Tel Aviv University	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Konstantin Ustinov	Institute for Problems in Mechanics of Russian Academy of Sciences	Bringing pure and applied analysis together via the Wiener-Hopf technique, its generalisations and applications
Douglas Arnold	University of Minnesota	Geometry, compatibility and structure preservation in computational differential equations
Elena Celledoni	Norwegian University of Science and Technology	Geometry, compatibility and structure preservation in computational differential equations
Erwan Faou	INRIA Rennes – Bretagne Atlantique	Geometry, compatibility and structure preservation in computational differential equations
Evelyne Hubert	INRIA Sophia Antipolis	Geometry, compatibility and structure preservation in computational differential equations
Robert McLachlan	Massey University	Geometry, compatibility and structure preservation in computational differential equations
Hans Munthe-Kaas	Universitetet i Bergen	Geometry, compatibility and structure preservation in computational differential equations
Reinout Quispel	La Trobe University	Geometry, compatibility and structure preservation in computational differential equations
Antonella Zanna	Universitetet i Bergen	Geometry, compatibility and structure preservation in computational differential equations
Yuri Antipov	Louisiana State University	Complex analysis: techniques, applications and computations
Tom DeLillo	Wichita State University	Complex analysis: techniques, applications and computations
Loredana Lanzani	Syracuse University	Complex analysis: techniques, applications and computations
Scott McCue	Queensland University of Technology	Complex analysis: techniques, applications and computations
Irina Mitrea	Temple University	Complex analysis: techniques, applications and computations
Sonia Mogilevskaya	University of Minnesota	Complex analysis: techniques, applications and computations
Takashi Sakajo	Kyoto University	Complex analysis: techniques, applications and computations
Saleh Tanveer	Ohio State University	Complex analysis: techniques, applications and computations

2018

Peter Challenor	University of Exeter	Uncertainty quantification for complex systems: theory and methodologies
Ronald De Vore	Texas A&M University	Uncertainty quantification for complex systems: theory and methodologies
Serge Guillas	University College London	Uncertainty quantification for complex systems: theory and methodologies
Max Gunzburger	Florida State University	Uncertainty quantification for complex systems: theory and methodologies
Lindsay Lee	University of Leeds	Uncertainty quantification for complex systems: theory and methodologies
Catherine Powell	University of Manchester	Uncertainty quantification for complex systems: theory and methodologies
Claudia Schillings	Universität Mannheim	Uncertainty quantification for complex systems: theory and methodologies
David Woods	University of Southampton	Uncertainty quantification for complex systems: theory and methodologies
Henry Wynn	London School of Economics	Uncertainty quantification for complex systems: theory and methodologies
Yining Chen	London School of Economics	Statistical Scalability
Edward Ian George	University of Pennsylvania	Statistical Scalability
Qiyang Han	University of Washington	Statistical Scalability
Claudia Kirch	Otto-von-Guericke-Universität Magdeburg	Statistical Scalability
Tatyana Krivobokova	Georg-August-Universität Göttingen	Statistical Scalability
Po-Ling Loh	University of Wisconsin-Madison	Statistical Scalability
Xinghao Qiao	London School of Economics	Statistical Scalability
Sara Anna Van de Geer	ETH Zürich	Statistical Scalability
Jon Wellner	University of Washington	Statistical Scalability
Yi Yu	University of Bristol	Statistical Scalability
Julie Bergner	University of Virginia	Homotopy harnessing higher structures
Paul Goerss	Northwestern University	Homotopy harnessing higher structures
John Greenlees	University of Sheffield	Homotopy harnessing higher structures
Stefan Schwede	Rheinische Friedrich-Wilhelms-Universität Bonn	Homotopy harnessing higher structures
Brooke Shipley	University of Illinois at Chicago	Homotopy harnessing higher structures
Ulrike Tillmann	University of Oxford	Homotopy harnessing higher structures
Lawson Tyler	University of Minnesota	Homotopy harnessing higher structures
David Brydges	University of British Columbia	Scaling limits, rough paths, quantum field theory
Ajay Chandra	Imperial College London	Scaling limits, rough paths, quantum field theory
Giuseppe Da Prato	Scuola Normale Superiore di Pisa	Scaling limits, rough paths, quantum field theory
Martina Hofmanova	ENS de Cachan	Scaling limits, rough paths, quantum field theory
Giovanni Jona-Lasinio	Università degli Studi di Roma La Sapienza	Scaling limits, rough paths, quantum field theory
Thierry Levy	Université Pierre & Marie Curie-Paris VI	Scaling limits, rough paths, quantum field theory
Gordon Slade	University of British Columbia	Scaling limits, rough paths, quantum field theory

2017

Dorothy Buck	University of Bath	Homology theories in low dimensional topology
Eli Grigsby	Boston College	Homology theories in low dimensional topology
Anthony Licata	Australian National University	Homology theories in low dimensional topology
Joan Licata	Australian National University	Homology theories in low dimensional topology
Vera Vertesi	University of Strasbourg	Homology theories in low dimensional topology
Liam Watson	University of Glasgow	Homology theories in low dimensional topology
Goulnara Arzhantseva	Universität Wien	Non-positive curvature group actions and cohomology
Pierre-Emmanuel Caprace	Université Catholique de Louvain	Non-positive curvature group actions and cohomology
Michael Davis	Ohio State University	Non-positive curvature group actions and cohomology
Thomas Delzant	University of Strasbourg	Non-positive curvature group actions and cohomology
Cornelia Drutu Badea	University of Oxford	Non-positive curvature group actions and cohomology
Erik Guentner	University of Hawaii	Non-positive curvature group actions and cohomology
Vladimir Markovic	Caltech	Non-positive curvature group actions and cohomology
Pierre Pansu	Université Paris-Sud 11	Non-positive curvature group actions and cohomology
Eric Swenson	Brigham Young University	Non-positive curvature group actions and cohomology
Karen Vogtmann	University of Warwick	Non-positive curvature group actions and cohomology
Yuki Arano	Kyoto University	Operator algebras: subfactors and their applications
Arthur Jaffe	Harvard University	Operator algebras: subfactors and their applications
Yasu Kawahigashi	University of Tokyo	Operator algebras: subfactors and their applications
Roberto Longo	Università degli Studi di Roma Tor Vergata	Operator algebras: subfactors and their applications
Yoh Tanimoto	Università degli Studi di Roma Tor Vergata	Operator algebras: subfactors and their applications
Martine Ben Amar	CNRS – Ecole Normale Superieure Paris	Growth form and self-organisation
Arezki Boudaoud	ENS – Lyon	Growth form and self-organisation
Pierre Degond	Imperial College London	Growth form and self-organisation
Christophe Eloy	École centrale de Marseille	Growth form and self-organisation
Lisa Fauci	Tulane University	Growth form and self-organisation
Mimi Koehl	University of California, Berkeley	Growth form and self-organisation
Neil Ribe	CNRS (Centre national de la recherche scientifique)	Growth form and self-organisation
Jane Wang	Cornell University	Growth form and self-organisation
Roberto Zenit	Universidad Nacional Autonoma de Mexico (UNAM)	Growth form and self-organisation
Herman Agnieszka	University of Gdansk	Mathematics of sea ice phenomena
Luke Bennetts	University of Adelaide	Mathematics of sea ice phenomena
Daniel Feltham	University of Reading	Mathematics of sea ice phenomena
Henrik Kalisch	Universitetet i Bergen	Mathematics of sea ice phenomena
Tatiana Khabakhpasheva	University of East Anglia	Mathematics of sea ice phenomena
Alexander Korobkin	University of East Anglia	Mathematics of sea ice phenomena
Mike Meylan	University of Newcastle, Australia	Mathematics of sea ice phenomena
Emilian Parau	University of East Anglia	Mathematics of sea ice phenomena
Pavel Plotnikov	Lavrentyev Institute of Hydrodynamics	Mathematics of sea ice phenomena
Vernon Arthur Squire	University of Otago	Mathematics of sea ice phenomena
Simon Arridge	University College London	Variational methods and effective algorithms for imaging and vision
Yuri Boykov	University of Western Ontario	Variational methods and effective algorithms for imaging and vision
Martin Burger	Universität Münster	Variational methods and effective algorithms for imaging and vision
Antonin Chambolle	CNRS (Centre national de la recherche scientifique)	Variational methods and effective algorithms for imaging and vision
Michael Hintermuller	Weierstrass Institute Berlin	Variational methods and effective algorithms for imaging and vision
Mila Nikolova	CNRS (Centre national de la recherche scientifique)	Variational methods and effective algorithms for imaging and vision
Thomas Pock	Graz University of Technology	Variational methods and effective algorithms for imaging and vision
Xue-Cheng Tai	Hong Kong Baptist University	Variational methods and effective algorithms for imaging and vision
Olga Veksler	University of Western Ontario	Variational methods and effective algorithms for imaging and vision

2016

Giulio D’Agostini	Università degli Studi di Roma La Sapienza	Probability and Statistics in Forensic Science
Norman Fenton	Queen Mary, University of London	Probability and Statistics in Forensic Science
Stephen Fienberg	Carnegie Mellon University	Probability and Statistics in Forensic Science
David Lagnado	University College London	Probability and Statistics in Forensic Science
Geoffrey Morrison	University of Alberta	Probability and Statistics in Forensic Science
Julia Mortera	Università degli Studi Roma Tre	Probability and Statistics in Forensic Science
Hal Stern	University of California, Irvine	Probability and Statistics in Forensic Science
William Thompson	University of California, Irvine	Probability and Statistics in Forensic Science
Patricia Wiltshire	University of Aberdeen	Probability and Statistics in Forensic Science
Stephen Fienberg	Carnegie Mellon University	Theoretical Foundations for Statistical Network Analysis
Susan Holmes	Stanford University	Theoretical Foundations for Statistical Network Analysis
Svante Janson	Uppsala Universitet	Theoretical Foundations for Statistical Network Analysis
Elizaveta Levina	University of Michigan	Theoretical Foundations for Statistical Network Analysis
Sofia Olhede	University College London	Theoretical Foundations for Statistical Network Analysis
Patrick Wolfe	University College London	Theoretical Foundations for Statistical Network Analysis
Peter Christen	Australian National University	Data Linkage and Anonymisation
Stephen Fienberg	Carnegie Mellon University	Data Linkage and Anonymisation
Natalie Shlomo	University of Manchester	Data Linkage and Anonymisation
Christine O’keefe	CSIRO Mathematics, Informatics and Science	Data Linkage and Anonymisation
Yosi Rinott	Hebrew University of Jerusalem	Data Linkage and Anonymisation
Majid Hassenizadeh	Universitait of Utrecht	Melt in the Mantle
Garrett Ito	University of Hawaii	Melt in the Mantle
Yasuko Takei	University of Tokyo	Melt in the Mantle
David Anderson	University of Wisconsin-Madison	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Steve Andrews	Fred Hutchinson Cancer Research Centre	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Daniel Coombs	University of British Columbia	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Radek Erban	University of Oxford	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
David Holcman	CNRS-Ecole Normale Superiore Paris	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Samuel Isaacson	Boston University	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Peter Kramer	Rensselaer Polytechnic Institute	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Rachel Kuske	University of British Columbia	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Jürgen Reingruber	CNRS-Ecole Normale Superiore Paris	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Sten Rüdiger	Humboldt-Universitait zu Berlin	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Konstantinos Zygalakis	University of Southampton	Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

2015

Alexander Fedotov	Saint Petersburg State University	Periodic and Ergodic Spectral Problems
Nikolai Filonov	Russian Academy of Sciences	Periodic and Ergodic Spectral Problems
Bernard Helffer	Université Paris Sud	Periodic and Ergodic Spectral Problems
Svetlana Jitomirskaya	University of California, Irvine	Periodic and Ergodic Spectral Problems
Frédéric Klopp	Université Pierre & Marie Curie-Paris VI	Periodic and Ergodic Spectral Problems
Shu Nakamura	University of Tokyo	Periodic and Ergodic Spectral Problems
Leonid Parnovski	University College London	Periodic and Ergodic Spectral Problems
Tatiana Suslina	Saint Petersburg State University	Periodic and Ergodic Spectral Problems
Yiqian Wang	Nanjing University	Periodic and Ergodic Spectral Problems
Louigi Addario-Berry	McGill University	Random Geometry
Omer Angel	University of British Columbia	Random Geometry
Vincent Beffara	University of Bonn	Random Geometry
Nicolas Curien	Universite Paris-Orsay	Random Geometry
Bertrand Duplantier	CEA Saclay	Random Geometry
Jason Miller	MIT	Random Geometry
Scott Sheffield	MIT	Random Geometry
John King	University of Nottingham	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Rudolf Leube	Aachen University	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Sharon Lubkin	North Carolina State University	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Anotida Madzvamuse	University of Sussex	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Hans Othmer	University of Minnesota	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Necibe Tuncer	Florida Atlantic University	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Axel Voight	Technische Universitat Dresden	Coupling Geometric PDEs with Physics for Cell Morphology, Motility and Pattern Formation
Joan Bagaria	ICREA and Universitat de Barcelona	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Mirna Dzamonja	University of East Anglia	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Benedikt Lowe	Universiteit van Amsterdam and Universität Hamburg	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Menachem Magidor	Hebrew University of Jerusalem	Mathematical, Foundational and Computational Aspects of the Higher Infinite
John Steel	University of California, Berkeley	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Jouko Väänanen	University of Helsinki	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Boban Velickovic	Université Paris 7 – Denis Diderot	Mathematical, Foundational and Computational Aspects of the Higher Infinite
Philip Welch	University of Bristol	Mathematical, Foundational and Computational Aspects of the Higher Infinite