Kurt Johansson is a Full Professor of Mathematics at KTH Royal Institute of Technology, Sweden. His academic journey includes roles as Associate Professor at KTH (1993-2001) and Uppsala University (1988-1993), alongside research funded by the Swedish Natural Science Research Council (1998-2003). His primary affiliations are within the Department of Probability, Mathematical Physics & Statistics at KTH, where he also coordinates courses on Differential Equations and Fourier Analysis. Education: BSc in Physics (1982) and PhD in Mathematics (1988), both from Uppsala University. Research interests focus on Probability Theory , Mathematical Physics , and Random Matrix Theory , with contributions to stochastic models, determinantal processes, and universality in statistical mechanics. Key Awards: Wallenberg Prize (1995), Rollo Davidson Prize (2000), Göran Gustafsson Prize (2002), Fellow of the American Mathematical Society (2012), and multiple Wallenberg Scholar grants (2011-2023). Grants: Major funding from the Swedish Research Council (VR), K&A Wallenberg Foundation, and others. His research group explores Random Matrices, Stochastic Models, and Analysis , with notable work on the Arctic Circle Theorem and KPZ universality class. Recent publications analyze Brownian directed percolation and domino tilings of the Aztec diamond, reflecting his focus on interdisciplinary applications of probability and mathematical physics.
Rafał Latała is a distinguished Professor at the Institute of Mathematics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, where he has held a full professorship since 2013. He is also a Corresponding Member of the Polish Academy of Sciences since 2016 and an AMS Fellow since 2013. His academic career spans over 25 years at the University of Warsaw, progressing from Instructor (1994-1997) to Assistant Professor (1997-2003), Associate Professor (2003-2012), and finally to his current position as Professor. Additionally, he held a part-time professorship at the Institute of Mathematics of the Polish Academy of Sciences from 2009-2012. His educational background includes a PhD in Mathematics from the University of Warsaw (1997) with a dissertation on estimation of moments of sums of independent random variables under the supervision of Professor Stanisław Kwapien, a Habilitation degree in Mathematics (2002), and the title of Professor awarded by the President of Poland (2009). He completed his MSc in Mathematics at the University of Warsaw in 1994. Latała's research focuses on the intersection of probability theory and geometric analysis, with particular expertise in convex geometry, functional analysis, asymptotic geometric analysis, and the theory of log-concave measures. His work bridges theoretical mathematics with applications in high-dimensional statistics and random matrix theory. He has made significant contributions to understanding moment inequalities, concentration phenomena, and the geometric structure of high-dimensional random objects. His recent work demonstrates increasing sophistication in handling complex relationships between different norms of random vectors and matrices. His publication record shows a consistent focus on probabilistic methods in geometric settings, with recent articles demonstrating advanced techniques for analyzing random matrices, log-concave measures, and canonical processes. The research trajectory reveals increasingly sophisticated methods for bounding norms and moments in high-dimensional spaces, with applications spanning theoretical mathematics to statistical learning theory. Kolmogorov Lecture 2024 Prize of the Foundation for Polish Science in mathematics, physics, and engineering sciences 2023 Orlicz Lecture 2023 Institute of Mathematics of the Polish Academy of Sciences Prize 2014 AMS Fellow since 2013 Foundation for Polish Science Grant Mistrz 2007-2011 Prime Minister Award for Habilitation Thesis 2003 Invited Speaker at International Congress of Mathematicians 2002 Latała has supervised five PhD students to completion (Rafal Meller, Marta Strzelecka, Jakub Wojtaszczyk, Radoslaw Adamczak, and Rafal Lochowski) and four MSc students (Maciej Bartczak, Dariusz Matlak, Tomasz Tkocz, and Marcin Lis). His editorial service includes positions at Probability Surveys (2024-26), The Annals of Probability (2015-20), and Studia Mathematica (2006-present). He has organized numerous international conferences including the High Dimensional Probability X conference in 2023 and served on various professional committees including the Central Commission for Academic Degrees and Titles.
Karol Życzkowski is a Professor of Physics at the Smoluchowski Institute of Physics, Jagiellonian University, Cracow, Poland, and also holds a position at the Center for Theoretical Physics, Polish Academy of Sciences, Warsaw. He has held visiting positions at the Perimeter Institute for Theoretical Physics (2004/05) and previously served as Director of the Quantum Information Center in Gdańsk (2019-2023). Since January 2023, he has been President of the Cracow Branch of the Polish Academy of Sciences. Education Ph.D. in Theoretical Physics (1987, Jagiellonian University) Habilitation in Physical Sciences (1994, Jagiellonian University) Życzkowski’s research spans Quantum Information Theory , with a focus on quantum entanglement, geometry of quantum states, random matrices, and operator theory. His work bridges theoretical physics, mathematics, and interdisciplinary applications, including voting systems (e.g., Jagiellonian Compromise) and scientometrics. He has authored or co-authored over 150 papers and the influential monograph Geometry of Quantum States (Cambridge University Press, 2006, second edition 2017). His recent publications emphasize quantum thermodynamics (e.g., Jarzynski equality for stochastic maps), entanglement detection via uncertainty relations, and mathematical structures in quantum theory. Collaborations span 134 scientists from 19 countries, and his work has been cited over 6500 times (Google Scholar) with an H-index of 40. Scientific Awards Award of Rector of Jagiellonian University (2013) for work on quantum information foundations Award of Rector of Jagiellonian University (2007) for the monograph Geometry of Quantum States Prime Minister Award (1995) for habilitation thesis Humboldt Fellowship (1989), Fulbright Fellowship (1997/98) Życzkowski has supervised 5 Ph.D. and 16 Master’s theses, with 3 Ph.D. students currently in progress. He coordinated 9 research grants, participated in 10 others, and led the Polish node of a German SFB-Transregio project. He serves on editorial boards for journals including Open Systems & Information Dynamics and Journal of Physics A . He co-organized workshops (including Oberwolfach and Marseille) and founded research networks like the European Research Network Krzyżowa Initiative for Quantum Information. His Jagiellonian Quantum Information Team (JQIT) and involvement in the Mark Kac Complex Systems Research Centre highlight his collaborative leadership.
Marek Kuś is a Full Professor at the Center for Theoretical Physics, Polish Academy of Sciences in Warsaw since 1995. He holds a D.Sc. (Habilitation) from Warsaw University (1988), a Ph.D. in Physics (1983), and an M.Sc. in Physics (1979). His research focuses on theoretical and mathematical physics, including nonlinear phenomena, chaos, stochastic processes, geometric methods in physics, and quantum information theory. He has held visiting professorships at institutions such as the Université Pierre et Marie Curie (Paris, 1998-2000) and Universität Essen (Germany, 1995-1996). Director of the Center for Theoretical Physics (2003–2006) President of the Polish Society for Advancement of Arts and Sciences (2003–2006) Chairman of the Scientific Council for the National Center for Quantum Information in Gdańsk (since 2008) Professional Activities: Member of the Presidium of the Committee of Physics of the Polish Academy of Sciences (2003–2006; 2007–2010) Editor of the International Journal of Quantum Information (since 2010) Member of five editorial boards and international scientific councils Awards: Humboldt Fellowship (1987), ERC Advanced Grants evaluation panel membership (2014). Labs/Teams: Leads the Scientific Council of the National Center for Quantum Information in Gdańsk and collaborates with multiple institutes across Poland and internationally.
László Erdős is a Professor of Mathematics at the Institute of Science and Technology Austria (IST Austria) since 2013. He previously held positions as C4/W3 Professor at LMU Munich (2003-2013), Associate Professor and Assistant Professor at Georgia Institute of Technology, and was a Member at the Institute for Advanced Study in Princeton (2013-2014). He is an elected Corresponding Member of the Austrian Academy of Sciences (2015). Erdős earned his Diploma in Mathematics from Lorand Eotvos University, Budapest (1990), followed by a PhD in Mathematics from Princeton University (1994) under advisor Elliott H. Lieb. He completed his Habilitation at the University of Vienna (2001). His research focuses on Mathematical Physics, particularly in the areas of Random Matrix Theory, Spectral Analysis of Quantum Systems, and Many-Body Quantum Dynamics. Erdős has made significant contributions to understanding universality in random matrices, quantum dynamics of Bose-Einstein condensates, and spectral properties of disordered quantum systems. His work bridges rigorous mathematical analysis with fundamental questions in theoretical physics. Analysis of Erdős's recent publications reveals a strong focus on spectral statistics of random matrices and their applications to quantum physics. His research demonstrates how universal patterns emerge in complex quantum systems, connecting stochastic processes with spectral theory. The work spans from foundational mathematical results to applications in condensed matter physics and quantum information. His scientific achievements have been recognized with numerous honors including: ERC Advanced Grant (2013) ICM Invited Speaker (2014) SPA Plenary Speaker (2014) QMATH 12 Plenary talk (2013) Aisenstadt Chair, Montreal (2012) ICMP Plenary speaker (2009) ECM Invited Speaker (2008) ICMP Invited Speaker (2000) Elected Corresponding Member of Austrian Academy of Sciences (2015) Geza Grunwald Prize (1995) Annales Henri Poincare Distinguished Paper Award (twice) Erdős has secured significant research funding throughout his career, including an ERC Advanced Grant (2014-2019) worth 1.755M Euro, multiple NSF grants, and participation in major collaborative projects like the Elite Graduate Program TMP and SFB TR12 "Symmetries and Universality." His research group at IST Austria continues to advance the mathematical understanding of quantum systems and random matrices.
Marek Kuś is a Full Professor at the Center for Theoretical Physics, Polish Academy of Sciences (PAS) in Warsaw, where he has held this position since 1995. He previously served as Full Professor at Cardinal Stefan Wyszyński University (2001-2012) and Director of the Center for Theoretical Physics, PAS (2003-2006). His international collaborations include visiting professorships in Germany, France, and the USA. Education: M.Sc. in Physics, Warsaw University (1979) Ph.D. in Physics, Warsaw University (1983) D.Sc. (Habilitation), Warsaw University (1988) Professor title conferred in 1995 His research spans quantum chaos, quantum information theory, and mathematical physics, with specialized interests in nonlinear phenomena, geometric methods, and quantum entanglement. Recent publications (2011-2015) focus on quantum correlations, entanglement detection frameworks, and symplectic geometry applications to quantum systems, reflecting sustained work in foundational quantum theory and complex systems. Scientific Awards and Leadership: Humboldt Fellowship (1987) President, Polish Society for Advancement of Arts and Sciences (2003-2005) Chairman, Scientific Council of National Center for Quantum Information (since 2008) Member, ERC Advanced Grants evaluation panel (2014) Editorial board member for International Journal of Quantum Information
Institute of Science and Technology AustriaAustria
Dr. Mher Safaryan is a postdoctoral researcher at the Institute of Science and Technology Austria (ISTA), affiliated with Prof. Dan Alistarh's research group since 2022. Previously, he held postdoctoral positions at King Abdullah University of Science and Technology (KAUST) from 2019-2022 and served as a research technician there from 2016-2019. He earned his Ph.D. in Mathematics from Yerevan State University in 2018 under Prof. Grigori Karagulyan's supervision. Education: Ph.D. in Mathematics (2018, YSU) Past Affiliations: KAUST (2016-2022), Neural Magic/Red Hat (industrial secondment) His research focuses on optimization theory and algorithms for machine learning , particularly in developing communication/computation/memory-efficient methods for large-scale training and federated learning. Key contributions include LDAdam (low-dimensional gradient statistics optimization), GradSkip (accelerated local gradient methods), and Unified Scaling Laws for compressed representations. He has published in top venues like NeurIPS, ICML, ICLR, TMLR, and The Journal of Geometric Analysis. Scientific Awards: Marie Skłodowska-Curie Fellowship (MSCA COFUND IST-BRIDGE) His work bridges machine learning optimization with mathematical foundations from his earlier research in real harmonic analysis. Current collaborations include Prof. Dan Alistarh (ISTA), Dr. Alexandre Marques (Neural Magic), and Prof. Peter Richtárik (KAUST).
Institute of Science and Technology AustriaAustria
Joscha Henheik is a Postdoctoral Researcher at the Institute of Science and Technology Austria (IST Austria), transitioning to the University of Geneva in September 2025 under Antti Knowles. He completed his M.Sc. (Physics, 2020) and B.Sc. (Mathematics/Physics, 2019) at the University of Tübingen, followed by a Ph.D. in Mathematics at IST Austria (2025). He co-organizes the MIX Colloquium at IST Austria. His research focuses on mathematical physics, emphasizing random matrices, quantum many-body systems, and BCS theory. Key contributions include studies on the Loschmidt echo, universality in BCS models, and adiabatic theory for quantum spin systems. His work bridges theoretical physics and rigorous mathematical analysis, addressing topics like prethermalization, eigenvector decorrelation, and integrable systems. Publications span random matrix theory, superconductivity, and adiabatic processes, with methods rooted in statistical mechanics and quantum dynamics. His collaborations include László Erdős, Giorgio Cipolloni, and Antti Knowles. Future work will explore quantum lattice systems and low-dimensional BCS phenomena at Geneva.
Werner Schachinger is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Business, Economics and Statistics. His research focuses on optimization theory, mathematical analysis, and game theory, with particular emphasis on completely positive matrices, quadratic optimization, and evolutionary dynamics. He has authored over 18 publications since 2007, exploring topics such as CP-rank bounds, combinatorial asymptotics, and algorithmic methods in optimization. Education background not explicitly stated but inferred through research focus and academic rank. His research interests span operations research, mathematical optimization, probability theory, and combinatorics. Notable contributions include studies on the complexity of optimization models, equilibrium analysis in game theory, and the application of copositive programming techniques. Publications highlight trends in optimization theory, with recent works addressing geometric distribution analysis (2023) and Plancherel averages (2023). Earlier contributions include work on moral play equilibrate (2021) and cp-rank lower bounds (2015–2020). No scientific awards explicitly mentioned in the texts. Advising and grants details are not provided in the text. However, activities include organizing the 2018 Workshop on Optimization, Game Theory, and Data Analysis, and contributing to talks on copositive optimization and duality in conic programming. Labs or research teams are not explicitly mentioned, though collaborations with researchers like Immanuel Bomze and Jörgen Weibull suggest active participation in interdisciplinary projects.
Markus Fulmek is an Associate Professor at the Faculty of Mathematics, University of Vienna , with a focus on combinatorial mathematics and discrete structures. He has contributed extensively to enumerative combinatorics, lattice path enumeration, and algebraic combinatorics through his research. His work centers on combinatorics , particularly in lattice path enumeration , permutation patterns , and determinant identities . He has explored tiling problems for symmetric hexagons, nonintersecting lattice paths, and bijective proofs for Schur function identities, often linking these to broader areas like graph theory and discrete geometry . Recent publications (2021–2023) emphasize tiling configurations for damaged or dented hexagons, permutation matrices, and determinant-based combinatorial identities. His methodology frequently relies on nonintersecting lattice paths and bijective combinatorics .
Michael Schlosser is an Associate Professor at the Faculty of Mathematics and Department of Mathematics . His research focuses on combinatorics, number theory, and special functions, with a strong emphasis on q-series and hypergeometric series. Research Interests Combinatorics (ascent sequences, lattice paths, rook theory) Number Theory (supercongruences, cyclotomic polynomials, modular forms) Special Functions (theta functions, hypergeometric functions, orthogonal polynomials) Algebra (noncommutative hypergeometric series, matrix inversions) Recent Article Trends (2012-2025) span q-supercongruences, determinant evaluations, asymptotics of Fishburn matrices, lattice path combinatorics, and elliptic hypergeometric series. His work often intersects classical analysis with computational mathematics. Collaborators include prominent researchers like Victor J. W. Guo, Yujun Jin, Ae Ja Yee, Christian Krattenthaler, and Hwang-Fu Zhou.
Souvik Roy is a Professor at the Applied Statistics Unit of the Indian Statistical Institute, Kolkata . His research spans multiple disciplines including Game Theory, Mechanism Design, Social Choice Theory, and Probability Theory with applications in diffusion processes, percolation, and random matrices. Education: PhD (2010) from the University of Maastricht; M.Stat (2006) from the Indian Statistical Institute, Delhi. Research Interests: Game Theory (Bayesian learning, supermodular games), Mechanism Design (randomized rules, constrained domains), Social Choice (ordinal Bayesian IC, hybrid domains), Probability Theory (diffusion, percolation). His recent work focuses on Bayesian best response dynamics , probabilistic cellular automata in percolation games , and incentive-compatible voting systems . Articles appear in journals like Games and Economic Behavior , SIAM Journal on Control and Optimization , and Social Choice and Welfare , reflecting interdisciplinary applications in economics, computer science, and statistical physics. Scientific Awards: Mahalanobis Memorial Medal (2024), Social Choice and Welfare Award (2024), Professor M.J. Manohar Rao Award (2016). Students: Mentored over 15 Master’s students (M.Stat, M.Math, MSQE) and PhD advisees, including Madhuparna Karmokar and Ujjwal Kumar, with projects on strategy-proofness, mechanism design, and graph-based voting.
Hannes Leeb is a full-time Professor at the University of Vienna , leading the Department of Statistics and Operations Research within the Faculty of Business, Economics, and Statistics . He is also affiliated with the Research Network Data Science and co-organizes the ISOR Colloquium . Research Interests : Inference Post Model Selection, Shrinkage-Type Estimators, High-Dimensional Data Analysis, Machine Learning, Random Matrices, Asymptotic Statistics, Linear/Non-Linear Time Series. Recent Research Trends : His 15 most recent articles focus on valid statistical inference in high-dimensional settings, including F-statistics , conformal prediction , and adaptive methods for deep learning. Key subfields include post-model selection uncertainty , conditional coverage , and shrinkage estimator properties . Teaching & Leadership : He teaches core courses like 'Basic Principles of Statistics' and 'Probability Theory', and supervises PhD research privatissimum in econometrics/statistics. As department head, he emphasizes data science integration and methodological rigor .
Martin Ehler serves as Associate Professor and Vice-Dean for Teaching at the University of Vienna's Faculty of Mathematics, where he concurrently holds the position of Deputy Head of the Institute of Mathematics. His academic activities are centered at Oskar-Morgenstern-Platz 1, Room 10.128, Vienna, with primary responsibilities spanning research leadership, teaching undergraduate/graduate mathematics courses, and administrative oversight of academic programs. His research program in Computational Harmonic Analysis drives innovations in Mathematical Data Analysis and Medical Image Processing , evidenced by his leadership in the Applied Harmonic Analysis Cluster (AHA) and co-organization of the bi-annual Strobl conference. Core methodologies integrate frame theory, manifold approximation, and spherical design principles to address challenges in neural network stability, medical imaging reconstruction, and signal processing robustness. Analysis of his 2023-2025 publications reveals dominant themes in harmonic analysis applications to deep learning architectures (particularly ReLU-layer injectivity and filterbank design), geometric approximation on manifolds, and medical imaging algorithms. These works demonstrate consistent interdisciplinary collaboration across mathematics, signal processing, and biomedical engineering domains. No scientific awards were documented in the provided materials. While teaching responsibilities for courses like Introduction to Analysis and Mathematics of Data Science are explicitly listed, details regarding graduate student supervision or research grant funding were absent from the source texts. His research ecosystem is anchored in the Applied Harmonic Analysis Cluster (AHA), facilitating cross-institutional collaboration on harmonic analysis applications, with documented partnerships through co-authored publications in venues like IEEE Signal Processing Letters and Mathematics of Computation.
Giovanni Felder is a Professor of Mathematics at ETH Zurich since 1996, with previous appointments at the University of North Carolina, Chapel Hill (1994-1996) and as Assistant Professor at ETH Zurich (1991-1994). His academic career includes postdoctoral positions at IHES, Bures-sur-Yvette (1986-1988) and IAS, Princeton (1988-1989). Professor Felder's research spans several interconnected fields of mathematics and theoretical physics. His work primarily focuses on: Algebra and geometry Mathematical Physics Integrable systems Random matrices Deformation quantization Throughout his career, Felder has received notable recognition including the ETH medal for his Ph.D. thesis and election to the Academia Europaea in 2012. His scholarly contributions extend beyond research through editorial roles with prestigious journals including Communications of Mathematical Physics (1993-1998), Letters in Mathematical Physics (since 2009), and Journal of Mathematical Physics (since 2010). Professor Felder has held significant administrative positions including Chairman of the Department of Mathematics at ETH Zurich (2010-2011) and membership on the ETH Research Commission (2004-2009). He has been invited to speak at major international conferences including the International Congress of Mathematicians in Zurich (1994) and Madrid (2006), where he delivered the laudatio for Fields Medalist A. Okounkov.
