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Prof. Tobias Müller is a Professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen. His academic journey includes previous positions at Utrecht University, CWI (Centrum Wiskunde & Informatica), Tel Aviv University, and Eindhoven University of Technology, with a doctorate from the University of Oxford under Colin McDiarmid. His research focuses on combinatorics, probability theory, random graphs, percolation, discrete and stochastic geometry, and combinatorial game theory. He has contributed extensively to understanding complex networks, hyperbolic models, and geometric random structures. Research Interests: Random Graphs and Percolation Theory Discrete and Stochastic Geometry Hyperbolic Network Models Probabilistic Combinatorics Geometric Probability Graph Algorithms and Connectivity Notable Contributions: Analysis of Voronoi and Poisson-Voronoi percolation in hyperbolic planes. Studies on Mallows random permutations and their cycle structures. Research on component games and logical limit laws in graph theory. Investigations into the geometry and properties of random geometric graphs. Grants & Collaborations: Active in organizing workshops and conferences on random graphs and geometric networks, including the BIRS Workshop on Random Geometric Graphs and the STAR Workshops series. Labs/Teams: Member of the Bernoulli Institute’s research groups, focusing on stochastic studies, combinatorics, and algorithmic methods.

• Combinatorics
• Probability Theory
• Random Graphs
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Gilles Bonnet is an Assistant Professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the University of Groningen , Netherlands. He is also affiliated with the Groningen Cognitive Systems and Materials Center (CogniGron) . His academic journey includes a PhD from University of Osnabrück (2016) under Prof. Matthias Reitzner, followed by a postdoc at Ruhr University Bochum (2016-2021) . Research Interests: His work bridges Probability Theory and Convex Geometry , focusing on high-dimensional stochastic structures. Key areas include random polytopes , Poisson hyperplane tessellations , and geometric inequalities . He has explored phase transitions in random polytopes and combinatorial diameter bounds. Scientific Contributions: Co-organized the Workshop On Randomness and Discrete Structures (2025) and the Spring School and Workshop on Polytopes (2019). His 2016 paper on Poisson tessellation earned a best poster award at the 18th Stochastic Geometry workshop. Awards: Best poster award (2016) Teaching: Delivers courses on Probability and Measure , Random Geometry , and Stochastic Processes at the University of Groningen and Ruhr University Bochum.

• Probability Theory
• Convex Geometry
• Stochastic Geometry
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Prof. Marius Crainic is a Professor of Fundamental Mathematics at the Mathematical Institute, part of the Science faculty at Utrecht University. His research focuses on geometric structures such as Poisson manifolds, Lie groupoids, symplectic geometry, and differential geometry. He has contributed extensively to the study of deformation theory, cohomology, and geometric analysis. His work bridges algebraic topology, differential geometry, and mathematical physics. Notable research areas include the study of Poisson manifolds of compact types, Lie pseudogroups, and the interplay between geometric structures and algebraic frameworks. His publications often address foundational topics in geometric analysis and their applications. He is involved in teaching courses like Differential Geometry and Introduction to Topology. Contact: crain101@uu.nl .

• Differential Geometry
• Symplectic Geometry
• Lie Theory
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Arthemy Kiselev is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, specifically within the Department of Mathematics at the Johann Bernoulli Institute. He has been working at the Chair of Algebra since January 2011, contributing significantly to mathematical physics research. His educational background includes: (Under)graduate studies at Lomonosov Moscow State University (summa cum laude, 2001) and Independent University of Moscow PhD in mathematical physics (2004) Professor Kiselev's research focuses on the interface of (super)geometry and quantisation, particularly examining the (non)commutative geometry of Kontsevich's deformation and Batalin-Vilkovisky's approaches to quantisation of gauge field models. His work centers on deformation quantisation, BV quantisation, geometry of differential equations, Poisson geometry, and brackets. He has developed algebraic and geometric tools for the mathematical language of fundamental physics, with particular emphasis on the geometry of variations in Batalin-Vilkovisky formalism and Kontsevich's deformation quantization. His fingerprint in research shows strong connections to Cocycle Mathematics (100%), Poisson Bracket Mathematics (95%), Vector Field Mathematics (77%), Manifold Mathematics (65%), Poisson Structure Mathematics (51%), and Partial Differential Equation Mathematics (41%). His recent publications (2023-2024) demonstrate continued exploration of Kontsevich graphs acting on Nambu-Poisson brackets, star-products for affine Poisson brackets, and associativity properties in deformation quantization. These works show a consistent focus on understanding the mathematical structures underlying quantization procedures, with particular attention to graph complexes, cocycles, and their applications to Poisson geometry. His research reveals deep connections between algebraic structures, differential geometry, and theoretical physics. Scientific recognition includes: NWO VENI post-doctoral grant at Mathematical Institute Utrecht (2008-2010) Throughout his career, Kiselev has given 107 international talks at mathematics and theoretical physics research seminars. His collaborative work with PhD and master's students, such as M.S. Jagoe Brown and F. Schipper, has produced significant results in Poisson geometry and deformation quantization. His research has been supported by various institutions including visits to prestigious centers like IHES (France), MPIM (Germany), CRM (Montreal, Canada), and SISSA (Trieste, Italy). He has held positions at institutions including ISPU in Ivanovo, Russia (as docent since 2009). Kiselev is an active member of the Geometry and Quantum Theory (GQT) research group, contributing to the vibrant mathematical physics community at Groningen. His work continues to bridge abstract mathematical structures with fundamental physical theories, particularly through the lens of deformation quantization and Poisson geometry.

• Mathematical Physics
• Deformation Quantization
• Poisson Geometry
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Jason E. Frank is Professor of Numerical Analysis at Utrecht University, where he was appointed in 2013. He holds positions in the Faculty of Science and Mathematical Institute, specializing in Mathematical Modeling. Previously, he served as Head of the Department of Mathematics and Director of the Mathematical Institute at Utrecht University from 2018 to 2022. His academic journey includes a full professorship at the University of Amsterdam (2010-2013) and extensive research work at CWI, Amsterdam (2000-2013), where he led the Computational and Stochastic Dynamics research group. Frank earned his B.Sc. and M.Sc. degrees in aerospace engineering from the University of Kansas in 1992 and 1994, respectively, followed by a PhD in numerical analysis from Delft University of Technology and CWI in April 2000. His doctoral research focused on parallel computing methods for ordinary and partial differential equations. Professor Frank's research fundamentally addresses modeling, analysis, and computation of ordinary, partial, and stochastic differential equations. His work spans applications in atmosphere/ocean/climate dynamics, nonlinear waves, and complex systems. A significant portion of his research focuses on geometric integration and structure-preserving numerical methods, which maintain the intrinsic geometric properties of differential equations during numerical integration. His expertise extends to applied data science and foundations of complex systems, contributing to the Utrecht Platform for Applied Data Science. Analysis of Frank's publication record reveals a strong emphasis on numerical methods for differential equations, with particular focus on data assimilation techniques, geometric integration, and climate modeling. His work bridges theoretical numerical analysis with practical applications in climate science and fluid dynamics, showing consistent development from foundational numerical methods toward increasingly complex multiscale and stochastic systems. Frank has held significant leadership roles, including Head of the Department of Mathematics and Director of the Mathematical Institute at Utrecht University from 2018 to 2022. His research has been supported by various grants that enabled work on numerical methods for climate modeling, data assimilation, and complex dynamical systems. His work connects with the Computational and Stochastic Dynamics research group (MAC1) that he previously led at CWI, Amsterdam, and continues to influence research in mathematical modeling of complex systems at Utrecht University.

• Numerical Analysis
• Differential Equations
• Geometric Integration
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Jose A. Iglesias Martínez is an Assistant Professor in the Department of Applied Mathematics at the University of Twente, affiliated with the Mathematics of Imaging and AI (MIA) group within the Faculty of Electrical Engineering, Mathematics and Computer Science. He conducts research at the intersection of variational analysis, inverse problems, shape analysis, and machine learning, with a geometric perspective on regularization and optimization. University: University of Twente School: Faculty of Electrical Engineering, Mathematics and Computer Science Department: Department of Applied Mathematics Research Group: Mathematics of Imaging & AI (MIA) His research focuses on analytic and variational methods for inverse problems in imaging, particularly involving total variation and related regularization models. The geometric structure of function domains and convex geometry in minimization problems plays a central role in his work. He applies these methods to imaging, shape analysis, and machine learning, with strong mathematical foundations in PDEs, functional analysis, and optimization. The recent publications reflect a consistent focus on variational regularization, extremal point analysis, sparse optimization, and PDE-constrained problems. Key themes include total variation, TGV, nonlocal perimeters, and shape optimization, with applications in image denoising, optical flow, and fluid dynamics. His work spans both theoretical convergence analysis and algorithmic development, often with computational implementations. Scientific Awards and Recognition: Member of the Editorial Board, Numerical Functional Analysis and Optimization (since August 2023) He actively teaches in applied mathematics, including courses such as Analysis 3, Mathematics behind Data-Driven Methods, and interdisciplinary topics like Art, Mathematics and Technology. He has supervised tutorials and projects in calculus, linear algebra, and modeling. His academic training includes dual MSc degrees in Mathematics and Telecommunication Engineering from Madrid, a PhD (2015) and habilitation (2021) in Mathematics from the University of Vienna, followed by postdoctoral work at the Radon Institute in Linz. He has no listed students yet, but is actively publishing and contributing to the mathematical imaging community. He is involved in editorial work and maintains a strong publication record in top-tier applied mathematics journals.

• Inverse Problems
• Variational Methods
• Total Variation Regularization
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Douwe Hoekstra is a PhD candidate at the Utrecht Geometry Centre within the Mathematical Institute of the Faculty of Science at Utrecht University. Supervised by Dr. Álvaro del Pino Gomez, he conducts research in geometric topology and differential geometry with a focus on the h-principle and convex integration methodologies. His research centers on applying the h-principle to solve problems in geometric topology, specifically using convex integration techniques to establish flexibility in geometric structures. This work addresses fundamental questions about the existence and classification of solutions to underdetermined partial differential relations, with implications for symplectic geometry and foliation theory. Hoekstra's 2023 publication on Poisson cohomology of 3D Lie algebras demonstrates his engagement with algebraic structures in low-dimensional geometry. The research synthesizes Lie theory, Poisson geometry, and homological algebra to analyze structural properties of geometric systems, reflecting his broader interest in topological methods for differential equations. He is actively affiliated with the Utrecht Geometry Centre, participating in collaborative research initiatives and academic seminars that advance geometric analysis through interdisciplinary approaches.

• Geometric Topology
• Differential Geometry
• Lie Algebras
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Prof. Eric A Bergshoeff is an Honorary Professor at the University of Groningen, holding the Willem de Sitter Chair in Theoretical Physics within the Faculty of Science and Engineering. He is affiliated with the Cosmic Frontier — Van Swinderen Institute for Particle Physics and Gravity and the Centre for Theoretical Physics. His research focuses on quantum gravity, non-relativistic string theory, and their applications to phenomena like black holes and the fractional quantum Hall effect. His academic career includes an Academy Professorship (2012) and knighthood in the Order of The Netherlands (2018). He has secured grants such as the FOM Vrij programma (€2.66M) and National FOM Programme grants. Bergshoeff has authored over 300 publications, including works on non-relativistic string theory and spacetime symmetries. Research interests: Unifying quantum gravity with general relativity, non-relativistic limits of string theory, and applications to condensed matter systems like the fractional quantum Hall effect. His work often explores geometric frameworks like Newton-Cartan and Carrollian geometries. Key achievements include foundational contributions to supergravity, non-relativistic string theory, and geometric models of gravity. His recent articles (2023–2025) address topics like Carroll fermions, massive higher-spin fields in quantum Hall systems, and singular spacetime limits.

• Quantum Gravity
• Theoretical Physics
• String Theory
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Cristóbal Bertoglio is an Associate Professor at the University of Groningen, affiliated with the Computational and Numerical Mathematics group at the Bernoulli Institute within the Faculty of Science and Engineering. His research focuses on cardiovascular mathematics, biomedical engineering, and fluid-structure interaction in biological systems. He develops mathematical models and numerical methods to study cardiovascular dynamics, integrating data and models across scales to improve diagnostics and treatment for cardiovascular diseases. His work involves computational hemodynamics, inverse problem methods, and medical imaging techniques such as phase-contrast MRI and 4D flow MRI. Notable contributions include software benchmarks for cardiac elastodynamics, denoising algorithms for MRI velocity data, and parametric models for blood flow simulations. He collaborates internationally with researchers in engineering, mathematics, and clinical medicine to advance translational research in cardiovascular science. Dr. Bertoglio leads the Cardiovascular Mathematics Team, emphasizing interdisciplinary approaches to address challenges in modeling cardiac mechanics, pressure estimation, and fluid dynamics in vascular systems. His research also explores parameter identification, numerical stability, and optimization techniques for biomedical applications.

• Cardiovascular Mathematics
• Biomedical Engineering
• Fluid-Structure Interaction
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Eric Bergshoeff is an Honorary Professor in Theoretical High-Energy Physics at the University of Groningen's Faculty of Science and Engineering, holding the Willem de Sitter Chair in Theoretical Physics. Formerly director of the Van Swinderen Institute (VSI) for Particle Physics and Gravity until September 2017, he remains actively engaged in quantum gravity research and institutional activities within the Cosmic Frontier group. His research centers on unifying quantum mechanics with gravity through non-relativistic string theory and geometry, investigating whether relativity is essential for quantum gravity frameworks. This work addresses extreme conditions like the Big Bang and black holes, while also applying non-relativistic geometry to the fractional quantum Hall effect in condensed matter systems. Key methodologies involve Carroll gravity formulations and brane dynamics within supergravity contexts. Recent publications (2024-2025) reveal a concentrated exploration of non-relativistic limits in gravity theories, with significant emphasis on Carroll symmetry applications, M-brane dynamics, and fermionic formulations. These studies collectively advance understanding of quantum gravity's mathematical structure while probing connections between string theory, condensed matter physics, and emergent spacetime phenomena. Notable honors include: Knight in the Order of the Netherlands (2018) Academy Professorship by the Royal Netherlands Academy of Sciences (2012) €2.66M FOM Vrij programma grant for black hole and quantum information research (2017) Multiple FOM grants totaling over €6.6 million for gravity and string theory projects (2009-2013) Professor Bergshoeff has supervised 28 graduate research projects while securing substantial funding from Dutch research organizations. His current work focuses on the mathematical foundations of non-relativistic gravity, with ongoing collaborations evident in recent co-authored publications. He maintains active engagement through public lectures on Einstein's gravity and specialized academic presentations. He is affiliated with the Cosmic Frontier research initiative at Groningen and previously led the Van Swinderen Institute. His international collaborations span multiple countries, as indicated by recent research network analyses, with particular emphasis on European theoretical physics communities.

• Quantum Gravity
• String Theory
• Supergravity
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Prof. dr. G.R. (Gil) Cavalcanti is a Professor in Fundamental Mathematics at the Mathematical Institute, Faculty of Science, Utrecht University. His research focuses on differential geometry, generalized complex structures, and Poisson geometry, with connections to string theory and mathematical physics. Board member of the GQT cluster (2021-present) Mastermath board member (previously chair) Research interests include: Generalized complex structures (introduced by Nigel Hitchin) Symplectic and Poisson geometry Applications to string theory and Hamiltonian dynamics Teaching experience spans bachelor courses on Group Theory, Differentiable Manifolds, Geometry and Topology, and What is Mathematics, as well as master-level courses on Complex Analysis, Riemann Surfaces, and Differential Geometry. Scientific award: NWO-Vidi Fellowship (2011)

• Differential Geometry
• Generalized Complex Structures
• Poisson Geometry
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Rutger-Jan Lange is an Associate Professor at the Econometric Institute of Erasmus School of Economics, Erasmus University Rotterdam. His research spans time-series econometrics, filtering, stochastic processes, real options, and optimal stopping. He completed his PhD at the University of Cambridge and has held positions at Boston Consulting Group and Vrije Universiteit Amsterdam. Education: PhD in Management Science & Operations Research (Cambridge), Master's in Theoretical Physics (Cambridge). Research Interests: Focus on developing advanced econometric models for financial forecasting, climate policy optimization, and high-dimensional data analysis. Recent work integrates machine learning with traditional econometrics to enhance predictive accuracy. Publication Trends: Articles emphasize methodological innovations in time-series analysis (e.g., Bellman filtering), applications in climate economics, and real-option valuation. Cross-disciplinary themes include quantum physics and financial risk modeling. Research Supervision: Mentors PhD students in projects on score-driven filters and economic modeling. Received a Starter Grant to fund new PhD positions. Affiliations: Tinbergen Institute, Econometric Institute, ERIM.

• Time-Series Econometrics
• Financial Econometrics
• Optimal Stopping Theory
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