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.
Elliot Addy | University of Edinburgh | The mathematical and statistical foundation of future data-driven engineering |
Antonio del Rio Chanona | Imperial College London | The mathematical and statistical foundation of future data-driven engineering |
Chris Dent | University of Edinburgh | The mathematical and statistical foundation of future data-driven engineering |
Alain Durmus | École Polytechnique | The mathematical and statistical foundation of future data-driven engineering |
Anastasia Istratuca | University of Edinburgh | The mathematical and statistical foundation of future data-driven engineering |
Jonas Latz | Heriot-Watt University | The mathematical and statistical foundation of future data-driven engineering |
Luca Magri | Imperial College London | The mathematical and statistical foundation of future data-driven engineering |
Philippe Moireau | INRIA Saclay – Île-de-France | The mathematical and statistical foundation of future data-driven engineering |
Davide Murari | NTNU | The mathematical and statistical foundation of future data-driven engineering |
Conor Osborne | University of Edinburgh | The mathematical and statistical foundation of future data-driven engineering |
Jonna Roden | University of Edinburgh | The mathematical and statistical foundation of future data-driven engineering |
Daniel Andre | Cranfield University | Rich and Nonlinear Tomography – a multidisciplinary approach |
Simon Arridge | University College London | Rich and Nonlinear Tomography – a multidisciplinary approach |
Tatiana Alessandra Bubba | University of Bath | Rich and Nonlinear Tomography – a multidisciplinary approach |
Matias Courdurier | Pontificia Universidad Católica de Chile | Rich and Nonlinear Tomography – a multidisciplinary approach |
Ben Cox | University College London | Rich and Nonlinear Tomography – a multidisciplinary approach |
Romina Gaburro | University of Limerick | Rich and Nonlinear Tomography – a multidisciplinary approach |
Silvia Gazzola | University of Bath | Rich and Nonlinear Tomography – a multidisciplinary approach |
Jakob Jørgensen | Technical University of Denmark | Rich and Nonlinear Tomography – a multidisciplinary approach |
Leonid Kunyansky | University of Arizona | Rich and Nonlinear Tomography – a multidisciplinary approach |
Paul Ledger | Keele University | Rich and Nonlinear Tomography – a multidisciplinary approach |
Anna Polyakova | Sobolev Institute of Mathematics | Rich and Nonlinear Tomography – a multidisciplinary approach |
Ivan Svetov | Sobolev Institute of Mathematics | Rich and Nonlinear Tomography – a multidisciplinary approach |
Chris Wensrich | University of Newcastle, Australia | Rich and Nonlinear Tomography – a multidisciplinary approach |
Sonia Fliss | ENSTA ParisTech | Mathematical theory and applications of multiple wave scattering |
Peter Gibson | York University (Canada) | Mathematical theory and applications of multiple wave scattering |
Jean-Philippe Groby | CNRS (Centre national de la recherche scientifique) | Mathematical theory and applications of multiple wave scattering |
Stuart Hawkins | Macquarie University | Mathematical theory and applications of multiple wave scattering |
Paul Martin | Colorado School of Mines | Mathematical theory and applications of multiple wave scattering |
Gennady Mishuris | Aberystwyth University | Mathematical theory and applications of multiple wave scattering |
Fabien Montiel | University of Otago | Mathematical theory and applications of multiple wave scattering |
Alexander Movchan | University of Liverpool | Mathematical theory and applications of multiple wave scattering |
Natasha Movchan | University of Liverpool | Mathematical theory and applications of multiple wave scattering |
Michael Nieves | Keele University | Mathematical theory and applications of multiple wave scattering |
Daniel Peterseim | Universität Augsburg | Mathematical theory and applications of multiple wave scattering |
Valerie Pinfield | Loughborough University | Mathematical theory and applications of multiple wave scattering |
Basant Lal Sharma | Indian Institute of Technology | Mathematical theory and applications of multiple wave scattering |
Ping Sheng | Hong Kong University of Science and Technology | Mathematical theory and applications of multiple wave scattering |
Alex Skvortsov | University of New South Wales | Mathematical theory and applications of multiple wave scattering |
Durvudkhan Suragan | Nazarbayev University | Mathematical theory and applications of multiple wave scattering |
Ben Wilks | University of Otago | Mathematical theory and applications of multiple wave scattering |
Andre Cavalieri | Instituto Tecnológico de Aeronáutica | Mathematical aspects of turbulence: where do we stand? |
Daniel Chung | University of Melbourne | Mathematical aspects of turbulence: where do we stand? |
Adam Larios | University of Nebraska | Mathematical aspects of turbulence: where do we stand? |
Jinkai Li | South China Normal University | Mathematical aspects of turbulence: where do we stand? |
Xin Liu | Texas A&M University | Mathematical aspects of turbulence: where do we stand? |
Helena Judith Nussenzveig Lopes | Universidade Federal do Rio de Janeiro (UFRJ) | Mathematical aspects of turbulence: where do we stand? |
Rahul Pandit | Indian Institute of Science | Mathematical aspects of turbulence: where do we stand? |
Dario Vincenzi | CNRS (Centre national de la recherche scientifique) | Mathematical aspects of turbulence: where do we stand? |
Helge Dietert | CNRS (Centre national de la recherche scientifique) | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Maria Gualdani | University of Texas at Austin | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Qin Li | University of Wisconsin-Madison | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Thomas Rey | Université Lille 1 | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Weiran Sun | Simon Fraser University | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Li Wang | University of Minnesota | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Jani Lukkarinen | University of Helsinki | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Jacques Smulevici | Sorbonne Université | Frontiers in kinetic theory: connecting microscopic to macroscopic scales – KineCon 2022 |
Elena Boguslavskaya | Brunel University | Fractional differential equations |
Zdzislaw Brzezniak | University of York | Fractional differential equations |
Vassili Kolokoltsov | University of Warwick | Fractional differential equations |
Igor Podlubny | Technical University of Kosice | Fractional differential equations |
Elina Shishkina | Voronezh State University | Fractional differential equations |
Michel Broué | Université Paris 7 – Denis-Diderot | 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 |
Inna Capdeboscq | University of Warwick | Groups, representations and applications: new perspectives |
Alexander Kleshchev | University of Oregon | Groups, representations and applications: new perspectives |
Peter Cameron | University of St Andrews | Groups, representations and applications: new perspectives |
Gabriel Navarro | Universitat de València | Groups, representations and applications: new perspectives |
Minhyong Kim | International Centre for Mathematical Sciences | K-theory, algebraic cycles and motivic homotopy theory |
Michael Green | University of Cambridge | New connections in number theory and physics |
Jens Funke | Durham University | New connections in number theory and physics |
Manish Patnaik | University of Alberta | New connections in number theory and physics |
Siddhartha Sahi | Rutgers, The State University of New Jersey | New connections in number theory and physics |
Katrin Wendland | Trinity College Dublin | New connections in number theory and physics |
Don Zagier | Max-Planck-Institut für Mathematik, Bonn | New connections in number theory and physics |
Costanza Benassi | Northumbria University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Thibault Congy | Northumbria University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Yassir Dinar | Sultan Qaboos University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Manuela Girotti | Saint Mary’s University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Antonio Moro | Northumbria University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Michael Shearer | North Carolina State University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Alexander Tovbis | University of Central Florida | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Constance Schober | University of Central Florida | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Giacomo Roberti | Northumbria University | Dispersive hydrodynamics: mathematics, simulation and experiments, with applications in nonlinear waves |
Supratik Chakraborty | Indian Institute of Technology Bombay | Verified software |
Ruzica Piskac | Yale University | Verified software |
Harini Desiraju | University of Sydney | Applicable resurgent asymptotics: towards a universal theory |
Diego Dominici | Johannes Kepler Universität | Applicable resurgent asymptotics: towards a universal theory |
Daniel Hasenbichler | University of Southampton | Applicable resurgent asymptotics: towards a universal theory |
Gergő Nemes | Tokyo Metropolitan University | Applicable resurgent asymptotics: towards a universal theory |
Maximilian Schwick | Instituto Superior Técnico, Lisboa | Applicable resurgent asymptotics: towards a universal theory |
Edwin Watson-Miller | University of Bath | Applicable resurgent asymptotics: towards a universal theory |
Noam Tamarin | Instituto Superior Técnico, Lisboa | Applicable resurgent asymptotics: towards a universal theory |
Samuel Crew | University of Bath | Applicable resurgent asymptotics: towards a universal theory |
Hao Cao | University of California, Los Angeles | Frontiers in dynamo theory: from the Earth to the stars |
David Hughes | University of Leeds | Frontiers in dynamo theory: from the Earth to the stars |
Andrew Jackson | ETH Zürich | Frontiers in dynamo theory: from the Earth to the stars |
Melodie Kao | University of California, Santa Cruz | Frontiers in dynamo theory: from the Earth to the stars |
Monika Korte | GFZ German Research Centre for Geosciences | Frontiers in dynamo theory: from the Earth to the stars |
Maylis Landeau | Institut de Physique du Globe de Paris | Frontiers in dynamo theory: from the Earth to the stars |
Petri Käpylä | Georg-August-Universität Göttingen | Frontiers in dynamo theory: from the Earth to the stars |
Diego Dominici | Johannes Kepler Universität | Applicable resurgent asymptotics: towards a universal theory |
Gergő Nemes | Tokyo Metropolitan University | Applicable resurgent asymptotics: towards a universal theory |
Steffen Grunewalder | Lancaster University – Mathematics and Statistic Dept. | Mathematics of deep learning |
Karin Baur | University of Leeds | Mathematics of deep learning |
Ana Garcia Elsener | University of Glasgow | Groups, representations and applications: new perspectives |
Daniel Labardini-Fragoso | Universidad Nacional Autonoma de Mexico (UNAM) | Groups, representations and applications: new perspectives |
Bethany Marsh | University of Leeds | Groups, representations and applications: new perspectives |
Pierre-Guy Plamondon | Université de Versailles Saint-Quentin-en-Yvelines | K-theory, algebraic cycles and motivic homotopy theory |
Ralf Schiffler | University of Connecticut | K-theory, algebraic cycles and motivic homotopy theory |
Sibylle Schroll | University of Cologne | K-theory, algebraic cycles and motivic homotopy theory |
Khrystyna Serhiyenko | University of Kentucky | K-theory, algebraic cycles and motivic homotopy theory |
Hipolito Treffinger | Université Paris 7 – Denis-Diderot | K-theory, algebraic cycles and motivic homotopy theory |
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 |
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 |
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 |
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 |
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 |
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 |