School

School of Mathematics and Statistics

PEOPLE

    • Magma Research Associate
    • Faculty of Science
    • Magma Research AssociateFaculty of Science

    I am a Magma Research Associate at the Magma Group, working in combinatorics and computational algebra and their applications. My research focuses on the interaction between combinatorial structures and their geometric realisations as polyhedra. I combine theoretical approaches with extensive use of computer algebra systems, in particular Magma, as well as GAP and related tools. Alongside my research, I value student supervision and collaborative work. I enjoy operating at the interface of pure mathematics and its applications.

    I am a Magma Research Associate at the Magma Group, working in combinatorics and computational algebra and their applications. My research focuses on the interaction between combinatorial structures and their geometric realisations as polyhedra. I combine theoretical approaches with extensive use of computer algebra systems, in particular Magma, as well as GAP and related tools. Alongside my research, I value student supervision and collaborative work. I enjoy operating at the interface of pure mathematics and its applications.

    • School of Mathematics and Statistics
    • Research collaboration
    • Research supervision
    • Conference as a panellist or speaker
    • Mentoring
    Fields of Research (2020)
    • Combinatorics and discrete mathematics (excl. physical combinatorics)
    • Data structures and algorithms
    • Group theory and generalisations
    • Numerical computation and mathematical software
    • Senior Lecturer (Teaching and Research)
    • Faculty of Science
    • Senior Lecturer (Teaching and Research)Faculty of Science

    Dr Anna Aksamit is a Senior Lecturer in the School of Mathematics and Statistics at the University of Sydney. She completed her PhD at the University of Évry Val d’Essonne and subsequently held a postdoctoral research position at the University of Oxford. From 2020 to 2023, she was awarded an ARC Discovery Early Career Researcher Award (DECRA) to support her research in probability and mathematical finance. She is currently a Chief Investigator on an ARC Discovery Project grant and continues to develop an active research program in stochastic processes and financial mathematics.

    Dr Anna Aksamit is a Senior Lecturer in the School of Mathematics and Statistics at the University of Sydney. She completed her PhD at the University of Évry Val d’Essonne and subsequently held a postdoctoral research position at the University of Oxford. From 2020 to 2023, she was awarded an ARC Discovery Early Career Researcher Award (DECRA) to support her research in probability and mathematical finance. She is currently a Chief Investigator on an ARC Discovery Project grant and continues to develop an active research program in stochastic processes and financial mathematics.

    • School of Mathematics and Statistics
    • Research supervision
    Fields of Research (2020)
    • Financial mathematics
    • Probability theory
    • Stochastic analysis and modelling
    • Honorary Professor
    • Faculty of Science
    • Honorary ProfessorFaculty of Science
    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Financial economics
    • Associate Professor in Mathematics & Statistics
    • Faculty of Science
    • Associate Professor in Mathematics & StatisticsFaculty of Science

    1999 - 2004: BSc at the Faculty of Applied Mathematics and Computer Science, Belarusian State University, Belarus

    2005 - 2007: PhD at the University of York, UK

    2008 - 2011: Research assistant at the University of York

    2011 - 2014: Lecturer at Durham University, UK

    2014 - 2017: Reader at Durham University, UK

    1999 - 2004: BSc at the Faculty of Applied Mathematics and Computer Science, Belarusian State University, Belarus

    2005 - 2007: PhD at the University of York, UK

    2008 - 2011: Research assistant at the University of York

    2011 - 2014: Lecturer at Durham University, UK

    2014 - 2017: Reader at Durham University, UK

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Algebra and number theory
    • Numerical analysis
    • Combinatorics and discrete mathematics (excl. physical combinatorics)
    • Research Fellow
    • Faculty of Science
    • Research FellowFaculty of Science
    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Algebra and number theory
    • Honorary Professor
    • Faculty of Science
    • Honorary ProfessorFaculty of Science
    MA DPhil (Oxon) FIEAust FRSN

    Chris Bertram graduated in Engineering Science in 1971 and gained his doctorate in 1975 with a thesis on ultrasonic measurement of arterial mechanical properties. He then spent two years working in haemodynamics at Johns Hopkins University’s Department of Physiology as first a postdoctoral fellow and then a research assistant. From 1977, as a research associate, he experimented on unsteady flow separation and modelled collapsed-tube flows at Cambridge University’s Applied Mathematics department (DAMTP). In 1980 he was appointed lecturer at the then Centre for Biomedical Engineering of University of New South Wales. He was promoted to senior lecturer in 1985, and to associate professor in 1990, lecturing on signal analysis, medical instrumentation, cardiovascular dynamics, medical imaging and physiological fluid mechanics. He moved to University of Sydney in 2010, becoming a Professorial Research Fellow in 2020. He has published over 100 full papers in peer-reviewed journals, and over 150 book chapters, conference contributions and other articles. For many years he conducted experiments on self-excited oscillations of collapsed-tube flows, and these investigations still form the most comprehensive investigation of this dynamical system. In parallel he conducted numerical modelling in several areas, most recently cerebrospinal fluid mechanics. His current research is on pace-making and pumping in the lymphatic vascular system. He has been a member of the World Council of Biomechanics, and an Associate Editor of the Journal of Fluids and Structures, and is on the Editorial Board of the journal Medical & Biological Engineering & Computing.

    MA DPhil (Oxon) FIEAust FRSN

    Chris Bertram graduated in Engineering Science in 1971 and gained his doctorate in 1975 with a thesis on ultrasonic measurement of arterial mechanical properties. He then spent two years working in haemodynamics at Johns Hopkins University’s Department of Physiology as first a postdoctoral fellow and then a research assistant. From 1977, as a research associate, he experimented on unsteady flow separation and modelled collapsed-tube flows at Cambridge University’s Applied Mathematics department (DAMTP). In 1980 he was appointed lecturer at the then Centre for Biomedical Engineering of University of New South Wales. He was promoted to senior lecturer in 1985, and to associate professor in 1990, lecturing on signal analysis, medical instrumentation, cardiovascular dynamics, medical imaging and physiological fluid mechanics. He moved to University of Sydney in 2010, becoming a Professorial Research Fellow in 2020. He has published over 100 full papers in peer-reviewed journals, and over 150 book chapters, conference contributions and other articles. For many years he conducted experiments on self-excited oscillations of collapsed-tube flows, and these investigations still form the most comprehensive investigation of this dynamical system. In parallel he conducted numerical modelling in several areas, most recently cerebrospinal fluid mechanics. His current research is on pace-making and pumping in the lymphatic vascular system. He has been a member of the World Council of Biomechanics, and an Associate Editor of the Journal of Fluids and Structures, and is on the Editorial Board of the journal Medical & Biological Engineering & Computing.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Biomechanical engineering
    • Postdoctoral Research Associate for Statistical Genetics
    • Faculty of Science
    • Postdoctoral Research Associate for Statistical GeneticsFaculty of Science
    • School of Mathematics and Statistics
    • Associate Professor
    • Faculty of Science
    • Associate ProfessorFaculty of Science
    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Group theory and generalisations
    • Operator algebras and functional analysis
    • Algebra and number theory
    • Senior Lecturer in Pure Mathematics (Education Focused)
    • Faculty of Science
    • Senior Lecturer in Pure Mathematics (Education Focused)Faculty of Science

    Rosie Cameron is an education-focused academic and First Year Director in the School of Mathematics and Statistics at the University of Sydney. With a background in pure mathematics (graph theory and combinatorics), she has since shifted into an education-focused role through her teaching and coordination of large first-year units. Her current work centres on undergraduate curriculum, assessment, and teaching leadership. She is a Fellow of the Higher Education Academy.

    Rosie Cameron is an education-focused academic and First Year Director in the School of Mathematics and Statistics at the University of Sydney. With a background in pure mathematics (graph theory and combinatorics), she has since shifted into an education-focused role through her teaching and coordination of large first-year units. Her current work centres on undergraduate curriculum, assessment, and teaching leadership. She is a Fellow of the Higher Education Academy.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Higher education
    • Mathematics and numeracy curriculum and pedagogy
    • Postdoctoral Research Associate (Pure and Applied Maths)
    • Faculty of Science
    • Postdoctoral Research Associate (Pure and Applied Maths)Faculty of Science
    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Partial differential equations
    • Calculus of variations, mathematical aspects of systems theory and control theory
    • Professor
    • Faculty of Science
    • ProfessorFaculty of Science

    Jennifer Chan did her PhD at The University of New South Wales, Sydney and was graduated in 1997. From 1996, she lectured at the University of Hong Kong before joining the Statistics Department in 2006.

    Jennifer Chan did her PhD at The University of New South Wales, Sydney and was graduated in 1997. From 1996, she lectured at the University of Hong Kong before joining the Statistics Department in 2006.

    • School of Mathematics and Statistics
    • Research collaboration
    • Conference as a panellist or speaker
    • Industry projects
    • Research supervision
    • Academics can be contacted directly or via media.office@sydney.edu.au
    Fields of Research (2020)
    • Insurance studies
    • Machine learning
    • Applied statistics
    • Professor of Mathematics
    • Faculty of Science
    • Professor of MathematicsFaculty of Science
    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Operator algebras and functional analysis
    • Ordinary differential equations, difference equations and dynamical systems
    • Partial differential equations
    • Postdoctoral Research Fellow (Pure Mathematics and Computation)
    • Faculty of Science
    • Postdoctoral Research Fellow (Pure Mathematics and Computation)Faculty of Science

    Lewis Combes is a postdoctoral researcher in the Computational Algebra Group, working under the supervision of John Voight and Geordie Williamson. 

    Lewis Combes is a postdoctoral researcher in the Computational Algebra Group, working under the supervision of John Voight and Geordie Williamson. 

    • School of Mathematics and Statistics
    • ARC Professorial Research Fellow
    • Faculty of Science
    • ARC Professorial Research FellowFaculty of Science

    I am a Professor in the School of Mathematics and Statistics at the University of Sydney,
    and a member of the Algebra Research Group. I have been working at the university
    of Sydney since 2015, first as a postdoctoral researcher with Ruibin Zhang, and
    since 2017 in a continuing position. In 2017 I received an ARC DECRA fellowship
    and in 2023 an ARC Future Fellowship. In 2021 I was awarded a Christopher Heyde
    medal
    from the Australian Academy of Science, in 2022 the G. de B. Robinson Award
    from the Canadian Mathematical Society with Chih-Whi Chen, in 2023 the Australian
    Mathematical Society Medal
    and in 2024 a Frontiers of Science Award in Mathematics,
    with Pavel Etingof and Victor Ostrik.

    I am a Professor in the School of Mathematics and Statistics at the University of Sydney,
    and a member of the Algebra Research Group. I have been working at the university
    of Sydney since 2015, first as a postdoctoral researcher with Ruibin Zhang, and
    since 2017 in a continuing position. In 2017 I received an ARC DECRA fellowship
    and in 2023 an ARC Future Fellowship. In 2021 I was awarded a Christopher Heyde
    medal
    from the Australian Academy of Science, in 2022 the G. de B. Robinson Award
    from the Canadian Mathematical Society with Chih-Whi Chen, in 2023 the Australian
    Mathematical Society Medal
    and in 2024 a Frontiers of Science Award in Mathematics,
    with Pavel Etingof and Victor Ostrik.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Algebra and number theory
    • Lie groups, harmonic and Fourier analysis
    • Category theory, k theory, homological algebra
    • Combinatorics and discrete mathematics (excl. physical combinatorics)
    • Group theory and generalisations
    • Senior Lecturer
    • Faculty of Science
    • Senior LecturerFaculty of Science
    • School of Mathematics and Statistics
    • Academics can be contacted directly or via media.office@sydney.edu.au
    Fields of Research (2020)
    • Applied statistics
    • Cognition
    • ARC Future Fellow
    • Faculty of Science
    • ARC Future FellowFaculty of Science

    Tiangang Cui is an Associate Professor and ARC Future Fellow in the School of Mathematics and Statistics at the University of Sydney. He earned his PhD in Engineering Science from the University of Auckland in 2011 and subsequently held a postdoctoral position at the Massachusetts Institute of Technology from 2012 to 2015. Before joining the University of Sydney in 2023, he served as a Lecturer and later a Senior Lecturer at Monash University from 2016 to 2023. His research focuses on computational mathematics for scientific machine learning and data science. He develops mathematically rigorous computational methods for statistical inverse problems, data assimilation, and uncertainty quantification.

    Tiangang Cui is an Associate Professor and ARC Future Fellow in the School of Mathematics and Statistics at the University of Sydney. He earned his PhD in Engineering Science from the University of Auckland in 2011 and subsequently held a postdoctoral position at the Massachusetts Institute of Technology from 2012 to 2015. Before joining the University of Sydney in 2023, he served as a Lecturer and later a Senior Lecturer at Monash University from 2016 to 2023. His research focuses on computational mathematics for scientific machine learning and data science. He develops mathematically rigorous computational methods for statistical inverse problems, data assimilation, and uncertainty quantification.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Numerical and computational mathematics
    • Computational statistics
    • Applied mathematics
    • Geophysics
    • Computational imaging
    • Statistics
    • Applied statistics
    • Associate Professor in Mathematics and Statistics
    • Faculty of Science
    • Associate Professor in Mathematics and StatisticsFaculty of Science

    I am a quantum topologist interested in the intersections of knot theory, quantum algebra, diagrammatics, categorification, and combinatorics.

     

    My recent and ongoing projects include:

    • topological approaches to the Kashiwara-Vergne conjecture

    • virtual knot invariants from graph cuts and flows

    • an operadic perspective on welded and virtual tangles.

     

    I aim to foster a diverse, inclusive, and vibrant research community in topology and beyond.

    I am a quantum topologist interested in the intersections of knot theory, quantum algebra, diagrammatics, categorification, and combinatorics.

     

    My recent and ongoing projects include:

    • topological approaches to the Kashiwara-Vergne conjecture

    • virtual knot invariants from graph cuts and flows

    • an operadic perspective on welded and virtual tangles.

     

    I aim to foster a diverse, inclusive, and vibrant research community in topology and beyond.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Anthropology
    • Combinatorics and discrete mathematics (excl. physical combinatorics)
    • Topology
    • Science, technology and engineering curriculum and pedagogy
    • Integrable systems (classical and quantum)
    • Ordinary differential equations, difference equations and dynamical systems
    • Algebra and number theory
    • Category theory, k theory, homological algebra
    • Algebraic and differential geometry
    • Group theory and generalisations
    • Associate Professor
    • Faculty of Science
    • Associate ProfessorFaculty of Science

    PhD 1992, University of Zurich, Switzerland

    PhD 1992, University of Zurich, Switzerland

    • School of Mathematics and Statistics
    • Academics can be contacted directly or via media.office@sydney.edu.au
    Fields of Research (2020)
    • Partial differential equations
    • Ordinary differential equations, difference equations and dynamical systems
    • Operator algebras and functional analysis
    • Biological mathematics
    • Dynamical systems in applications
    • Theoretical and applied mechanics
    • Real and complex functions (incl. several variables)
    • Algebra and number theory
    • Senior Lecturer
    • Faculty of Science
    • Senior LecturerFaculty of Science

    Dr Nathan Duignan is a mathematical researcher and lecturer in the School of Mathematics and Statistics at the University of Sydney. His work sits at the interface of geometry, dynamical systems, and plasma physics, where he studies how geometric structures shape the dynamics of physical systems.

     

    He is particularly interested in how ideas from symplectic geometry and Hamiltonian mechanics can be used to understand nonlinear phenomena in classical and modern physics, such as magnetic confinement in fusion devices, celestial mechanics, and more broadly chaotic systems. His research bridges pure mathematics and applied science, combining rigorous theory with computational and physical insight.

     

    Dr Duignan is also an active educator who coordinates and lectures across a range of undergraduate and advanced units in applied mathematics, and is known for developing innovative teaching tools that enhance engagement and academic integrity.

    Dr Nathan Duignan is a mathematical researcher and lecturer in the School of Mathematics and Statistics at the University of Sydney. His work sits at the interface of geometry, dynamical systems, and plasma physics, where he studies how geometric structures shape the dynamics of physical systems.

     

    He is particularly interested in how ideas from symplectic geometry and Hamiltonian mechanics can be used to understand nonlinear phenomena in classical and modern physics, such as magnetic confinement in fusion devices, celestial mechanics, and more broadly chaotic systems. His research bridges pure mathematics and applied science, combining rigorous theory with computational and physical insight.

     

    Dr Duignan is also an active educator who coordinates and lectures across a range of undergraduate and advanced units in applied mathematics, and is known for developing innovative teaching tools that enhance engagement and academic integrity.

    • School of Mathematics and Statistics
    • Career advice
    • Research collaboration
    • Mentoring
    • Membership of an advisory committee
    • Industry projects
    • Conference as a panellist or speaker
    • Research supervision
    • 7 Affordable and Clean Energy
    • 11 Sustainable Cities and Communities
    • 9 Industry, Innovation and Infrastructure
    Fields of Research (2020)
    • Dynamical systems in applications
    • Theoretical and applied mechanics
    • Ordinary differential equations, difference equations and dynamical systems
    • Mathematical aspects of classical mechanics, quantum mechanics and quantum information theory
    • Integrable systems (classical and quantum)
    • Professor of Applied Mathematics
    • Faculty of Science
    • Professor of Applied MathematicsFaculty of Science
    • School of Mathematics and Statistics
    • Research supervision
    • Academics can be contacted directly or via media.office@sydney.edu.au
    Fields of Research (2020)
    • Dynamical systems in applications
    • Ordinary differential equations, difference equations and dynamical systems
    • Theoretical and applied mechanics
    • Mathematical aspects of classical mechanics, quantum mechanics and quantum information theory
    • Integrable systems (classical and quantum)
    • Solar physics
    • Statistical mechanics, physical combinatorics and mathematical aspects of condensed matter
    • Numerical solution of differential and integral equations
    • Associate Professor
    • Faculty of Science
    • Associate ProfessorFaculty of Science

    David Easdown is currently engaged in a project to create online courses in mathematics on the Coursera platform. His list of courses currently include

    • MOOC Introduction to Calculus (launched 2018)
    • MOOC Introduction to Linear Algebra (launched 2023)
    • MOOC Introduction to Advanced Calculus (launched 2024).

    David Easdown is currently engaged in a project to create online courses in mathematics on the Coursera platform. His list of courses currently include

    • MOOC Introduction to Calculus (launched 2018)
    • MOOC Introduction to Linear Algebra (launched 2023)
    • MOOC Introduction to Advanced Calculus (launched 2024).
    • School of Mathematics and Statistics
    • Research supervision
    • Academics can be contacted directly or via media.office@sydney.edu.au
    Fields of Research (2020)
    • Algebra and number theory
    • Higher education
    • Mathematics and numeracy curriculum and pedagogy
    • Senior Magma Research Fellow
    • Faculty of Science
    • Senior Magma Research FellowFaculty of Science

    I am a Professor for Computer Algebra at the University of Würzburg (Germany) and a member of the computational algebra group at the University of Sydney.

    I am a Professor for Computer Algebra at the University of Würzburg (Germany) and a member of the computational algebra group at the University of Sydney.

    • School of Mathematics and Statistics
    • Research collaboration
    • 9 Industry, Innovation and Infrastructure
    Fields of Research (2020)
    • Algebra and number theory
    • Data structures and algorithms
    • Magma Research Fellow
    • Faculty of Science
    • Magma Research FellowFaculty of Science
    • School of Mathematics and Statistics
    • Research collaboration
    Fields of Research (2020)
    • Mathematical sciences
    • Combinatorics and discrete mathematics (excl. physical combinatorics)
    • Numerical computation and mathematical software
    • Data structures and algorithms
    • Research Focused Academic
    • Faculty of Science
    • Research Focused AcademicFaculty of Science

    I am an ARC Future Fellow and a Research Focused Academic at the Sydney Mathematical Research Institute and the School of Mathematics and Statistics.

     

    My research is in probability theory, with a particular focus on random matrices and random geometry.

    I am an ARC Future Fellow and a Research Focused Academic at the Sydney Mathematical Research Institute and the School of Mathematics and Statistics.

     

    My research is in probability theory, with a particular focus on random matrices and random geometry.

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Probability theory
    • Associate Professor
    • Faculty of Science
    • Associate ProfessorFaculty of Science

    Alexander Fish defended his Ph.D. thesis 'Ramsey properties of subsets of N' in 2007 under the supervision of Hillel Furstenberg, at Hebrew University of Jerusalem, Israel.

    Before arriving to Sydney, he was Zassenhaus Assistant Professor at Ohio State University, and Van Vleck Assistant Professor at UW-Madison .

    Alexander Fish defended his Ph.D. thesis 'Ramsey properties of subsets of N' in 2007 under the supervision of Hillel Furstenberg, at Hebrew University of Jerusalem, Israel.

    Before arriving to Sydney, he was Zassenhaus Assistant Professor at Ohio State University, and Van Vleck Assistant Professor at UW-Madison .

    • School of Mathematics and Statistics
    Fields of Research (2020)
    • Group theory and generalisations
    • Algebra and number theory
    • Ordinary differential equations, difference equations and dynamical systems
    • Lie groups, harmonic and Fourier analysis
    • Real and complex functions (incl. several variables)
    • Topology
    • Algebraic and differential geometry
    • Dynamical systems in applications
    • Combinatorics and discrete mathematics (excl. physical combinatorics)