Johannes Tausch is a Professor at Southern Methodist University specializing in numerical approximation and fast methods for boundary integral equations. His research spans computational electromagnetics, optics, fluid mechanics, shape optimization, and high-dimensional quadrature. Applications include heat transfer, anomalous diffusion, wave propagation, and electromagnetic analysis. Research focuses on developing efficient computational techniques for boundary integral reformulations of PDEs. Key methodologies include fast multipole methods, adaptive quadrature, Galerkin formulations, and mesh-free approaches for complex geometries. Current work emphasizes parabolic problems, moving boundaries, and high-dimensional integration. Publications demonstrate consistent focus on accelerating integral equation solvers through hybrid algorithms, matrix compression techniques, and specialized quadrature. Recent advancements target time-dependent domains and multiphysics coupling. No awards or student advising information is provided in the source materials.
Eric Poisson is a Professor of Physics at the University of Guelph, specializing in general relativity and gravitational physics. He serves as Third Year Coordinator and Graduate Program Coordinator, with an office in MacN 452. His research focuses on gravitational waves, black holes, neutron stars, and relativistic tidal interactions. He is an Affiliate Member of the Perimeter Institute for Theoretical Physics and a Fellow of the American Physical Society (since 2008). Education: B.Sc. (Physics, Laval University, 1987), M.Sc. (Theoretical Physics, University of Alberta, 1989), Ph.D. (Theoretical Physics, University of Alberta, 1991). His doctoral work under Werner Israel explored black hole interiors. Research Interests: Exploiting gravitational-wave astronomy to study dense astrophysical objects like neutron stars and black holes. Key areas include tidal interactions in binary systems, relativistic perturbation theory, and gravitational self-force effects. Recent work includes analyzing tidal deformations of black holes and neutron stars, as well as contributions to post-Newtonian theory and numerical relativity. Publications: Over 100 peer-reviewed articles, with recent focus on tidal effects in compact binaries, anisotropic fluids, and black hole horizon dynamics. Notable works include the 2014 textbook Gravity: Newtonian, Post-Newtonian, Relativistic and 2010's A First Course in General Relativity . Awards: Herzberg Medal (2004), President’s Distinguished Professor Award (2000–2001), American Physical Society Fellowship (2008) Editorial Roles: Former editor for Physical Review Letters , Classical and Quantum Gravity , and Physical Review D . Labs/Teams: Active in Perimeter Institute collaborations and the LIGO/Virgo gravitational-wave astronomy community. Advising: Supervised over 30 graduate students since 1999, including notable alumni like Michael LaHaye (PhD 2025) and John Ryan Westernacher-Schneider (PhD 2019). Current students include Tristan Pitre (PhD Candidate) and Tom Cadogan (MSc Candidate).
Jean Lécureux is a Lecturer at the Department of Mathematics within the Faculty of Sciences of Orsay at the University of Paris-Saclay. His research focuses on geometric group theory, specifically exploring buildings, their boundaries, Poisson boundaries, rigidity phenomena, and random walks in CAT(0) spaces. He has supervised the PhD of Corentin Le Bars (2023), currently a postdoc at the Weizmann Institute, and is currently advising Antoine Derimay's PhD. His work spans advanced topics such as the Normal Subgroup Theorem for groups acting on Ã₂ buildings, superrigidity in algebraic group actions, and geometric density of invariant random subgroups. Notable contributions include foundational studies on CAT(0) cubical complexes and boundary maps in infinite-dimensional Hermitian symmetric spaces. He holds a PhD from 2009 under Bertrand Rémy and an habilitation (2020) titled 'Bords et rigidité en courbure négative ou nulle.' Publications highlight interdisciplinary approaches to geometric structures, with key journals including Annales scientifiques de l'École normale supérieure, American Journal of Mathematics, and Groups, Geometry, and Dynamics. His pedagogical contributions include a 2017 paper on evaluation strategies in university mathematics education.
Nicolas Curien is a Professor at Paris-Saclay University, affiliated with the Probability and Statistics Team. His research spans Probability Theory , Random Planar Maps , Hyperbolic Geometry , and Stochastic Processes . Key Roles : Head of the M2 program "Mathematics of Randomness" at University of Paris Saclay Associate Editor for journals like Electronic Journal of Probability and Annals of Probability His research interests focus on geometric probability, random graphs, percolation theory, and the interplay between random metric spaces and combinatorial structures. Recent work includes studies on geodesic stability in Poisson-line metrics, hyperbolic Voronoi tessellations, and phase transitions in parking processes on random trees. He has supervised numerous PhD and Master’s students, including Alessandra Caraceni , Linxiao Chen , and Thomas Budzinski , with projects on random planar maps, frozen Erdős–Rényi graphs, and hyperbolic random planar maps. His scientific awards include the ERC Cog "SuPerGRandMa" (2023), the Prix Marc Yor (2022), and the Prix Jacques Herbrand (2019). Collaborative efforts and editorial roles further highlight his contributions to probabilistic models, including scaling limits of causal maps, harmonic measures in random trees, and geometric properties of infinite snakes via unimodularity. His work often bridges discrete structures with continuum limits, such as the Brownian plane and stable looptrees.
Prof. Dr. Ioan-Tiberiu Marcut is a Professor of Mathematics at the University of Cologne's Department of Mathematics within the School of Mathematics/Computer Science. His research focuses on Poisson geometry, with significant contributions to the study of local normal forms, deformation theory, and interactions between Poisson geometry and symplectic topology. He is actively involved in organizing international workshops and conferences, including the Higher Geometric Structures along the Lower Rhine series and the BIRS workshop on Singularities in Poisson Geometry. His work bridges differential geometry, foliation theory, and Lie theory, aiming to develop global invariants in Poisson topology. Prof. Marcut leads the Poisson Geometry Group at the University of Cologne and collaborates with institutions worldwide. He has organized meetings on Poisson Geometry at Radboud University (2018, 2023, 2024) and co-organizes the Oberseminar Geometrie, Topologie und Analysis. His research explores the interplay between Poisson structures and symplectic topology, seeking to apply symplectic techniques to Poisson geometry and vice versa. Key research interests include the Serre spectral sequence in geometric contexts, compact support Poisson structures, and the linearization problem for Poisson manifolds. Recent work involves Nash-Moser methods for geometric problems and the study of homology classes related to Poisson transversals. Prof. Marcut maintains an active academic profile through Google Scholar, Math Genealogy, and ORCID. He has contributed to educational materials via lectures on Poisson geometry and collaborates extensively with international researchers in geometric structures and topology.
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.
Cesare Tronci is a Professor of Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. His research focuses on geometric mechanics, plasma physics, and quantum dynamics, with applications in complex fluids and hybrid quantum-classical systems. He holds adjunct roles at Tulane University (2020–2023) and has held visiting positions at institutions like the Max-Planck Institute for Plasma Physics and the Fields Institute. Education: Laurea in Nuclear Engineering (Politecnico di Torino, 2004), PhD in Applied Mathematics (Imperial College London, 2008). Professional milestones include a Humboldt Fellowship (2019) and grants from the Leverhulme Trust (£405K, 2023) and Templeton Foundation ($3M, 2021). Research interests span geometric approaches to multi-physics systems, including momentum maps, Hamiltonian techniques, and nonlinear dynamics. Key areas include plasma physics, liquid crystals, and quantum-classical coupling. Recent work emphasizes Koopman wavefunctions and hybrid models for nonadiabatic systems. Selected grants: Leverhulme Trust 'Solute motion in complex fluids' (2023), Templeton 'Life on the Edge' (2021), Royal Society International Exchanges (2020). Awards include Humboldt Fellowship (2019) and London Mathematical Society Network grants (2013–2018). Teaching includes modules on Linear Algebra, Geometric Mechanics, and online MAGIC courses. Collaborations involve global institutions like EPFL, LANL, and the Max Planck Society. Ongoing projects address quantum-classical dynamics and solvation modeling.
Makoto Yamashita is an Associate Professor in the Department of Mathematics at the University of Oslo, specializing in operator algebras, quantum groups, and noncommutative geometry. He holds a PhD from the University of Tokyo (2011) and has held postdoctoral positions at Cardiff University and the University of Rome Tor Vergata. His research explores quantum symmetry, categorical duality, and homological structures in operator algebras. Affiliations: Operator Algebra Group at University of Oslo Education: PhD in Mathematics (University of Tokyo, 2011) Key research interests include the interplay between K-theory, functional analysis, and categorical structures. He has received prestigious awards such as the MSJ Takebe Katahiro Prize (2016) and the Young Scientists’ Prize (2018). His work often bridges operator algebras with quantum groups, focusing on classification of quantum symmetries and deformation quantization. Recent articles span topics like homology of dynamical systems and crystallization of C*-algebras. He actively participates in international collaborations and organizes seminars on quantum groups and noncommutative geometry.
Aldo Riello is a Teaching Faculty member at the Perimeter Institute for Theoretical Physics (PI), affiliated with the Academic Department's Training, Educational Outreach, and Scientific Programs division. He holds positions as a PSI Fellow since 2022 and has served as a Lecturer and assistant in quantum gravity and gravitational physics courses across multiple academic terms. His teaching includes core and elective modules in the Perimeter Scholars International (PSI) Master’s Program, such as Classical Physics (2024) and Quantum Gravity (2023–2025). Riello’s research focuses on foundational problems in classical and quantum general relativity, gauge theories, and their phase space geometries. Specific interests include boundary and corner structures in spacetime, asymptotic symmetries, discrete quantum gravity models in 3/4D, and symmetry deformations in field theories. He has held roles including a Marie Curie Postdoctoral Fellowship at the Université Libre de Bruxelles (2020–2021) and a Lecturer at the University of Waterloo’s Applied Mathematics department (2019). His recent work explores topics like Poisson-Lie symmetries in low-dimensional field theories, soft charges in Yang-Mills theories, and renormalization of conformal infinity. Riello frequently presents seminars on quantum gravity, gauge symmetries, and boundary conditions at institutions such as PI and the Centre de Physique Théorique in Marseille.
Prof. Maria Colombo is a Full Professor in the Department of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL), holding positions in the Chair of Mathematical Analysis, Calculus of Variations, and PDEs (AMCV), and the SMA Teaching Unit (SMA-ENS). She is actively involved in academic governance, serving on EPFL's School of Basic Sciences Academic Evaluation Committee (SB-CEA). Her research focuses on advanced topics in analysis, including partial differential equations, calculus of variations, fluid dynamics, and optimal transportation. She has advised multiple doctoral students and teaches courses like Analysis IV and Topics on Euler/Navier-Stokes Equations. Her awards include the 2024 Feltrinelli Prize, EMS Prize, and Frontiers of Science Award, alongside the 2023 Collatz Prize and De Giorgi Prize. Her work explores non-uniqueness in fluid equations, regularity theory, and nonlocal conservation laws. She contributes to mathematical communities through editorial roles and research leadership. Positions: Professeure ordinaire (AMCV, SMA-ENS), Committee Member (SB-CEA) Research Themes: PDEs, Fluid Dynamics, Variational Methods, Nonlinear Analysis Awards: 2024 Feltrinelli Prize, 2024 EMS Prize, 2023 Collatz Prize, 2022 Peter Lax Award Labs/Teams: AMCV Research Group (https://amcv.epfl.ch/), SMA Teaching Group (https://sma.epfl.ch/)
Mahdi Cheraghchi is an Associate Professor of Computer Science and Engineering at the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, Ann Arbor. Previously, he held faculty positions at Imperial College London (where he maintains an Honorary Senior Lecturer role) and was a researcher at the Simons Institute for the Theory of Computing (UC Berkeley), MIT, Carnegie Mellon University, and the University of Texas at Austin. He focuses on theoretical computer science, with research interests in coding theory, cryptography, information theory, algorithms, and computational complexity. Education: PhD in Computer Science from EPFL (Switzerland), under supervision of Amin Shokrollahi. He has supervised multiple PhD students, including current advisees Sam Boardman, Yeyuan Chen, Nikhil Shagrithaya, and Alexandra Veliche, and past students Dimitrios Myrisiotis and João Ribeiro. Research Interests: Interconnections between electrical engineering and theoretical computer science, sparse recovery, information-theoretic privacy, pseudorandomness, approximation algorithms, and hardness of approximation. He has published extensively in top venues such as STOC, SODA, and IEEE Transactions. Awards: Vulcans Education Excellence Award (2023), NSF CAREER Award (CCF-2236931), and recognition for contributions to theoretical computer science and education. He is a Senior Member of both ACM and IEEE. Teaching: Courses include EECS 572/EECS 598 (Randomness and Computation), EECS 475 (Introduction to Cryptography), and EECS 574 (Computational Complexity). He emphasizes inclusive instruction and student mentorship, incorporating creative methods like video breaks and interactive tools to enhance engagement. Grants: Actively funded by the NSF, including grants CCF-2236931, CCF-2107345, and CCF-2006455. He collaborates on interdisciplinary projects, such as semi-quantitative group testing for pathogen screening and robust secret sharing schemes. Labs and Teams: Leads the CS Theory Lab at the University of Michigan, fostering research in theoretical computer science and mentoring students in cutting-edge projects.
Taeho Kim is an Assistant Professor in the Department of Mathematics at Lehigh University. His research focuses on statistical methodology, applying advanced techniques to real-world problems in biostatistics and epidemiology. He holds a PhD from the University of South Carolina (2019) and an MS from Rutgers University. His work includes developing multiple interval estimation procedures for gene expression data analysis, Poisson-based models for predicting COVID-19 deaths, and novel prediction methods using concordance correlation coefficients. Research interests span multiple comparisons, prediction models, nonparametric estimation, and statistical methodology development. Recent projects include a new prediction approach maximizing concordance correlation, offering alternatives to classical least-squares methods. His research has been published in journals like The American Statistician and Electronic Journal of Statistics . Teaching includes MATH 312 at Lehigh. No awards are explicitly listed in the provided materials. Current affiliations include the Department of Mathematics and the Journal of Differential Geometry editorial board.
Nathan Chapelier-Laget is an Associate Professor at the University of the Littoral Opal Coast, France, affiliated with the LMPA (Laboratory of Pure and Applied Mathematics). He is a core member of the ANR CORTIPOM project (Combinatorial Representation Theory and Interaction with Probabilistic Models) and co-organizes the weekly ADA team seminar alongside Lucille Devin, Pierre-Louis Giscard, and Ilia Smilga. His academic trajectory includes: Humboldt research fellowship at Ruhr University Bochum, Germany (2024-2026, declined after 6 months) Postdoctoral researcher at the University of Sydney, Australia (2022-2023) under James Parkinson CNRS postdoctoral position at Université de Tours and Institut Denis Poisson, France (2021-2022) with Thomas Gobet, Jérémie Guilhot, and Cédric Lecouvey He earned his Ph.D. in Mathematics from Université du Québec à Montréal in 2021 under Christophe Hohlweg and Hugh Thomas. His research integrates combinatorial representation theory with probabilistic models through ANR CORTIPOM, focusing on structural properties of algebraic and geometric systems. Dr. Chapelier-Laget's scholarly work centers on Coxeter groups, Weyl and affine Weyl groups, Bruhat order, Kazhdan-Lusztig cells, representations of Hecke algebras, Shi regions, automata theory, lattice theory, toric varieties, Lie algebras, Kac-Moody algebras, and number theory via diophantine equations and core partitions. His methodology bridges abstract algebra with computational approaches to solve complex combinatorial problems. His recognition includes the Humboldt research fellowship award. He has contributed to academic service as a member of the FPSAC 2024 organizing committee and through co-organization of the ADA seminar series. Current engagements include the FPSAC 2025 conference in Sapporo (July 2025), GT CombAlg and Sage Days in Paris (June 2025), and the ANR CORTIPOM closing conference in Le Croisic (June 2025). His laboratory work is conducted within the LMPA framework at ULCO's Calais campus.
Prof. Roger Bielawski is a Professor at the Institute of Differential Geometry within the Faculty of Mathematics and Physics at Leibniz University Hannover. He serves as Spokesperson of the Riemann Center for Geometry and Physics and is a member of its leadership. His research focuses on differential geometry, mathematical physics, and hyperkähler manifolds, with contributions to monopole theory, complex geometry, and geometric analysis. He has organized major conferences such as the 2019 'Geometric and Analytic Aspects of Moduli Spaces' and the 2011 'Variational Problems in Differential Geometry.' His work bridges algebraic geometry, geometric analysis, and theoretical physics, emphasizing structures like spectral curves, integrable systems, and geometric moduli spaces. Roles: Spokesperson (Riemann Center), Professor (Institute of Differential Geometry), Deputy Representative (Faculty Council). Research Interests: Hyperkähler metrics, monopole dynamics, geometric structures in algebraic geometry, and integrable systems. Publications span over three decades, with recent works addressing vector bundles on real curves, quiver representations, and hypercomplex limits. He actively contributes to academic governance and maintains collaborative networks through the Riemann Center and Institute initiatives.
Luca Lussardi is an Assistant Professor at the Catholic University of the Sacred Heart, affiliated with the Department of Mathematics and Physics. His research focuses on differential geometry and mathematical physics, with particular emphasis on geometric structures in general relativity. Recent work includes studies on Einstein warped-product manifolds and their connections to the screened Poisson equation. No scientific awards or advisee students are explicitly mentioned in the provided materials. His sole listed publication (as of 2025) explores advanced topics in geometric analysis and theoretical physics.
