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Professor Mary Myerscough is an Associate Professor in the School of Mathematics and Statistics at the University of Sydney. Her research focuses on mathematical biology, particularly modeling atherosclerosis progression, honeybee colony dynamics, and social insect behavior. She has contributed to understanding macrophage lipid dynamics, plaque regression mechanisms, and hive thermoregulation. Her work combines mathematical models with biological systems, addressing topics like cell behavior, population dynamics, and disease mechanisms. Myerscough has secured grants including an ARC Discovery Project on atherosclerosis and collaborations in mathematical biology. Her research spans interdisciplinary areas from cardiovascular science to ecological modeling, with over 55 peer-reviewed publications. Education background and affiliations: Affiliated with the University of Sydney's Faculty of Science. Research interests include mathematical modeling of biological systems, atherosclerosis, and social insect behavior. Grants include projects on lipid-cell interactions and educational initiatives like shark bite analytics. Key contributions include models of honeybee colony collapse, termite architecture, and atherosclerotic plaque development. Her work bridges applied mathematics with life sciences, addressing both theoretical and applied questions in health and ecology.

• Mathematical Biology
• Atherosclerosis Modeling
• Honeybee Behavior
• +3 more

Dr. Anna Cai is a Lecturer in the Department of Applied Mathematics within the School of Mathematics & Statistics at the University of New South Wales (UNSW), a position she has held since 2011. Prior to this, she served as a postdoctoral researcher and lecturer at the University of California, Irvine from 2007 to 2011. Her educational background: Ph.D., The University of Melbourne, 2008 B.Sc. (First Class Honours), The University of Melbourne, 2004 Dr. Cai's research centers on Mathematical Biology , with specialization in cell migration dynamics , developmental pattern formation , and robustness in biological systems . She employs multi-scale mathematical modeling and stochastic analysis to investigate phenomena ranging from wound healing to zebrafish hindbrain development. Her work bridges theoretical mathematics with experimental biology to decode fundamental mechanisms governing cellular behavior and morphogenesis. Analysis of her 11 publications (2006-2015) reveals an evolutionary trajectory from foundational work on cell migration mechanics to sophisticated studies of developmental robustness. Early research established mathematical frameworks for wound-healing assays and immune cell dynamics, while later work pioneered noise-driven pattern formation models in zebrafish. A unifying thread is her focus on how biological systems maintain precision despite environmental fluctuations. Administrative responsibilities include: Applied representative on the postgraduate review committee UNSW study abroad and exchange course authority Current teaching assignments: MATH2121: Theory and Applications of Differential Equations MATH2018: Engineering Mathematics 2D Prior courses taught: MATH3041: Mathematical Modeling for Real World Systems MATH6781: Biomathematics

• Mathematical Biology
• Biomathematics
• Mathematical Modeling
• +3 more

Professor Eduardo Goldani Altmann is a faculty member in the Department of Mathematics at the University of Sydney. His research focuses on understanding complex systems through mathematical models and computational techniques, with a particular emphasis on nonlinear dynamics, statistical physics, and data science. He explores applications ranging from network theory to text analysis and biological systems like honeybee colony health. Research Interests: Altmann investigates the interplay between complexity and data-driven approaches, including chaotic systems, network dynamics, and the statistical properties of language. His work bridges disciplines such as physics, computer science, and biology. Grants & Collaborations: 2023: Learning the meso-scale organization of complex networks (Australian Research Council) 2021: Reducing the Morbidity of Head and Neck Cancer Treatment (Cancer Institute NSW) 2019: A complex systems approach to preventing colony failure in honey bees (Australian Research Council) Labs/Teams: Altmann leads a research group focused on complex systems analysis, with a webpage dedicated to their work: Group Website .

• Complex Systems
• Non-linear Dynamics
• Statistical Physics
• +4 more

Dr Anna Qianyao Cai is a Lecturer in the Department of Applied Mathematics at the School of Mathematics and Statistics, University of New South Wales (UNSW), since 2011. She earned her PhD (2008) and B.Sc. with First Class Honours (2004) from the University of Melbourne and held postdoctoral researcher and lecturer positions at the University of California, Irvine, from 2007 to 2011. PhD, University of Melbourne, 2008 B.Sc. First Class Honours, University of Melbourne, 2004 Postdoctoral researcher and lecturer, University of California, Irvine, 2007–2011 Her research focuses on Biological Mathematics , applying mathematical frameworks to biological systems. This aligns with broader interests in Applied Mathematics , Biomathematics , and Mathematical Modeling , reflecting her academic training and teaching experience. She has taught courses such as MATH2121 Theory and Applications of Differential Equations and MATH2018 Engineering Mathematics 2D , previously instructing MATH3041 Mathematical Modeling for Real World Systems and MATH6781 Biomathematics . Contact details include office phone +612 9385 7039 and room 4070 at the Anita B. Lawrence Centre, UNSW Sydney, NSW 2052.

• Biological Mathematics
• Applied Mathematics
• Biomathematics
• +1 more

Edward Hancock is an academic researcher at the University of Sydney, with a focus on control systems and synthetic biology. He holds a BSc in Mathematics and BE from the University of Sydney, followed by a DPhil in Control and Dynamical Systems from Oxford University. His postdoctoral work included synthetic biology research at Oxford, with visiting positions at ANU, Imperial College London, and Caltech. His research interests span control systems theory, systems biology, and synthetic biology, with applications in lymphatic muscle cell modeling, biochemical feedback mechanisms, and gene regulatory networks. He has contributed to understanding calcium dynamics in lymphatic vessels, antithetic control systems, and metabolic buffering. Teaching responsibilities include QBIO2001, MATH2065, and supervision of the Sydney University undergraduate iGem team. His recent publications emphasize multiscale modeling of biological systems, with a focus on nonlinear dynamics and feedback control principles. Over 30 peer-reviewed articles and book chapters demonstrate his interdisciplinary approach to bridging engineering and life sciences. Labs/Teams: Active collaborations involve interdisciplinary groups in biomathematics, systems biology, and synthetic biology at international institutions.

• Control and Dynamical Systems
• Systems Biology
• Synthetic Biology
• +3 more

Romuald N. Lipcius serves as a Professor at William & Mary's School of Marine Science within the Virginia Institute of Marine Science (VIMS), specializing in marine conservation ecology and biomathematics. His research focuses on population dynamics of key species including blue crabs, eastern oysters, and spiny lobsters, with emphasis on metapopulation dynamics, habitat restoration, and ecosystem-based fisheries management. His research interests center on quantitative approaches to marine conservation, particularly: Mathematical modeling of population dynamics and source-sink metapopulations Evaluation of nursery habitats for commercially important species Predator-prey interactions and food web dynamics in estuarine ecosystems Restoration ecology of oyster reefs and seagrass habitats Ecosystem services valuation of coastal habitats His work integrates field studies with sophisticated mathematical models to inform sustainable fisheries management. Analysis of Dr. Lipcius' 15 most recent publications reveals strong focus on quantitative restoration ecology (60% of works), particularly oyster reef dynamics and habitat suitability modeling. A significant portion (35%) addresses blue crab population ecology including survey methodology improvements and habitat-nursery relationships. His research consistently demonstrates interdisciplinary approaches combining field ecology, mathematical modeling, and ecosystem service valuation. Dr. Lipcius actively mentors graduate students, currently advising Dave Schulte (Ph.D. candidate) on oyster restoration and Kristen Bachand (M.S. candidate) on seagrass nursery habitats for blue crabs. His laboratory, jointly operated with Dr. Rochelle Seitz, maintains active research programs in marine conservation ecology and community dynamics.

• Marine Conservation Ecology
• Biomathematics
• Population Dynamics
• +7 more

Wafaa Mansoor is a Lecturer in the College of Science, Technology, Engineering and Mathematics at Murdoch University, where she bridges theoretical mathematics with real-world applications through dedicated teaching and research activities. Education Doctor of Philosophy in Mathematics, Murdoch University (2007-2009) Master of Mathematics, University of Baghdad (1998-2002) Bachelor of Mathematical Sciences, University of Baghdad (1998-2002) Research Interests Her scholarly work centers on biomathematics and disease modeling , leveraging mathematical modeling techniques to analyze complex biological systems. She actively investigates fluid dynamics phenomena and broader applied mathematics problems, emphasizing practical implementations that advance scientific understanding in health and physical contexts. Teaching and Advising Employs interactive lectures, group discussions, and hands-on activities to foster collaborative learning environments Actively recruits students for Honours, Masters, and PhD research projects in Mathematics Focuses on developing critical thinking skills and real-world application awareness in students

• Biomathematics
• Mathematical Modeling
• Disease Modeling
• +2 more

Dr. Talib Hashim is a Casual Academic in the Faculty of Science at the University of Technology Sydney (UTS). He holds a PhD in Mathematics (Numerical Computation) from Gadjah Mada University, Indonesia (2001), preceded by a Master's in Mathematics (General Topology) from the same institution (1997). His career includes roles as an Associate Lecturer (1984–1994), Lecturer/Senior Lecturer in Indonesian institutions (1994–2007), and Assistant Professor at International Islamic University Malaysia (2007–2010) before migrating to Australia. His research focuses on nonlinear systems, numerical computing, applied mathematics, topology, biomathematics, mathematics education, and the history and philosophy of mathematics. Teaching expertise spans computational methods, mathematical modeling, engineering mathematics, differential equations, and the history of mathematics. He has taught the Foundation Mathematics course at UTS from February 2011 to November 2023.

• Nonlinear systems
• Numerical computing
• Applied Mathematics
• +5 more

Dr. Yang Shi is a Senior Lecturer in Mathematics at the College of Science and Engineering, Flinders University, Adelaide, South Australia. Her office is located in the Tonsley Building at the university's campus (GPO Box 2100, ADELAIDE, SA, 5001). Dr. Shi specializes in integrable systems, a field at the intersection of nonlinear differential and difference equations, symmetry, geometry, and group theory. Her research focuses on: Symmetry groups in discrete Painlevé equations Affine Weyl groups and their applications Reflection groups and lattice structures Mathematical models for complex systems Analysis of Dr. Shi's recent publications reveals a strong focus on discrete integrable systems, particularly Painlevé equations and their symmetry properties. Her work bridges pure mathematics with applications in physics and potentially other fields as evidenced by her interdisciplinary publication on nanomaterials for cancer therapy. Dr. Shi serves as topic coordinator for Maths 1B (MATH1122) and Analysis (MATH2701), and as topic lecturer for Honours Thesis (MATH7700).

• Mathematical Physics
• Integrable Systems
• Nonlinear Differential Equations
• +5 more

Dr. Timothy Ballard is an ARC Future Fellow at the School of Psychology , University of Queensland, with affiliations to the Centre for Business and Organisational Psychology. His research program integrates statistical, computational, and mathematical models to address workplace health, safety, and performance dynamics. Key research areas: Decision-Making, Motivation, Fatigue, Stress, Computational Modeling Funding: Over $3 million from ARC, Commonwealth Defence Science and Technology Group, and Universities Australia His work explores: Cognitive mechanisms in self-other memory prioritization Neurochemical bases of decision strategies (dopamine, tDCS effects) Fatigue prediction models for naval and aviation environments Bayesian frameworks for dynamic change modeling Recent publications in Psychological Review , Journal of Neuroscience , and Neuropsychologia highlight methodological innovations and applications to real-world systems. Awards include: ARC DECRA and Future Fellowships Early Career Researcher Awards from Australian Psychological Society He supervises PhD candidates in: Workweek redesign for mental health Multigoal prioritization under friction Brain stimulation and metacognition His consultancy bridges organizational data analytics with cognitive science to optimize workforce strategies.

• Decision-Making
• Motivation
• Fatigue
• +6 more

Dr Michael Watson is a Lecturer in Applied Mathematics at the School of Mathematics and Statistics, University of New South Wales. His research focuses on mathematical and computational modelling of biological and physical systems, particularly pattern formation in tissues, atherosclerotic plaque development, and pore-scale fluid flow in porous media. Education: PhD in Mathematical Biology (2013), Heriot-Watt University BSc in Mathematics (First Class Honours, 2008), University of Dundee His work combines partial differential equation models, individual-based models, and pore network models to address complex biological and physical phenomena. Applications include wound healing, retinal vasculature development, and enhanced oil recovery techniques. Notable award: Lee Segel Prize for Best Paper (2014) from the Society for Mathematical Biology. Publications span topics like atherosclerosis, porous media, and angiogenesis, with recent preprints exploring smooth muscle cell phenotype switching and lipid-dependent macrophage kinetics. Teaching: MATH6781 Biomathematics MATH1231 Mathematics 1B

• Mathematical Biology
• Computational Modelling
• Biological Systems
• +7 more

Giovanni Giacomin is an Associate Lecturer in the Department of Mathematics and Statistics at the School of Physics, Mathematics and Computing, University of Western Australia. He holds a Doctor of Philosophy and specializes in interdisciplinary mathematical research. His research focuses on optimal foraging strategies, Lévy flights, stochastic processes, and fractional calculus applications. Key areas include analyzing foragers with finite lifespans, anomalous diffusion phenomena, and fractional operators in mathematical physics. Recent publications explore theoretical frameworks for foraging efficiency, stationary distributions in Lévy processes, and fractional theorems in harmonic analysis. His work bridges mathematics, biology, and physics, with applications in evolutionary modeling and statistical mechanics. Giacomin has collaborated extensively with scholars like Serena Dipierro and Enrico Valdinoci, producing impactful research in Mathematical Modelling of Natural Phenomena, Journal of Mathematical Biology, and other peer-reviewed journals.

• Mathematical Modeling
• Probability Theory
• Partial Differential Equations
• +3 more

Dr. Huanhuan Zhao is an Ext-Funded Research Fellow at the Biometry Hub on the Waite Campus of the University of Adelaide. She is part of the Analytics for the Australian Grains Industry in University of Adelaide (AAGI-UA), a Grains Research and Development Corporation (GRDC) funded initiative. Her role involves providing analytical support to pre-breeding and breeding projects. She specializes in genomic prediction models, leveraging large-scale genomic and phenomic data to enhance prediction accuracy. Her research also includes identifying genomic regions associated with complex traits via genome-wide association studies (GWAS) and assessing genetic gains through simulation techniques. Dr. Zhao is affiliated with the School of Agriculture, Food and Wine within the Faculty of Sciences, Engineering and Technology. She is eligible to supervise Masters and PhD students as a co-supervisor.

• Genomics
• Plant Breeding
• Genome-Wide Association Studies
• +3 more

Associate Professor Jeremy Sumner is affiliated with the School of Natural Sciences and the Department of Mathematics at the University of Tasmania. His research focuses on applying algebraic methods, particularly group representation theory, to phylogenetic models to improve evolutionary inference from molecular data. He holds a PhD and BSc (First Class Honors) in Mathematics from the University of Tasmania. Education: PhD in Entanglement, Invariants, and Phylogenetics (University of Tasmania, 2007) BSc (1st Class Hons) in Polar Decomposition of a Dirac Spinor (University of Tasmania, 2001) Research Interests: Jeremy’s work centers on developing algebraic frameworks for phylogenetics, including Lie-Markov models and group theory applications. He explores how symmetries in DNA substitution processes can enhance evolutionary analysis. His research bridges theoretical physics and biology, addressing challenges in molecular evolution and phylogenetic tree reconstruction. Grants & Projects: ARC Discovery Projects (e.g., 'Algebraically Informed Models of Biological Sequence Evolution' and 'Group Theory and Phylogenetics') DECRA Fellowship for research on Lie-Markov models Advising & Teaching: Supervised PhD students in areas like graded rings of Markov invariants and evolutionary sequence analysis Teaches courses in linear algebra, differential equations, and group theory Collaborations: Member of the UTAS Theoretical Phylogenetics Research Group and organizer of the annual Phylomania conference, fostering international collaboration in theoretical phylogenetics.

• Phylogenetics
• Algebraic Methods
• Group Representation Theory
• +3 more