Simons Fellowships

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.

The mathematical and statistical foundation of future data-driven engineering

January to June 2023

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

2022

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

2021

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

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

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