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Alessandra Caraceni is an Italian mathematician specializing in probability theory and stochastic processes. She earned her Ph.D. from the Scuola Normale Superiore di Pisa in 2015, with a dissertation titled "The geometry of large outerplanar and half-planar maps" under the supervision of Nicolas Curien and Franco Flandoli. Following her doctoral studies, Caraceni held a postdoctoral research position at the University of Bath from September 2016 to March 2019. Her research focuses on the geometry and growth of random planar maps, and she has contributed to the understanding of uniform planar maps through her publications. In addition to her research, Caraceni has been actively involved in mathematical education and outreach. She served as the leader of the Italian team at the European Girls' Mathematical Olympiad (EGMO) in 2015 and has continued her involvement with EGMO in various capacities, including as a coordinator and member of the problem selection committee.
Youssef Esstafa is an Associate Professor at Le Mans University in France. Prior to this, he served as a teacher-researcher at the National School for Statistics and Information Analysis (ENSAI) in Rennes, France. His research interests encompass statistics and probability theory, with a particular focus on time series analysis. Notably, he has contributed to the study of weak Fractionally AutoRegressive Integrated Moving-Average (FARIMA) models, exploring their asymptotic properties and calibration methods.
Esstafa has also investigated the behavior of linear L2-boosting algorithms in scenarios with diminishing learning rates.
His scholarly work includes multiple publications that have collectively garnered citations within the academic community.
At Le Mans University, Esstafa is affiliated with the Laboratoire Manceau de Mathématiques (LMM), where he continues to advance his research and contribute to the field of mathematics.
Konrad Kolesko is a Polish mathematician known for his contributions to various areas of mathematics, particularly in the field of mathematical analysis. He is affiliated with the mathematical Institute of the University of Wrocław in Poland. Throughout his career, Kolesko has been involved in both teaching and research, contributing to the development of mathematical theory and its applications. His work has had an impact on the academic community, particularly in the context of functional analysis and related subjects.
Dániel Bezdány is a Hungarian mathematician affiliated with the Bolyai Institute at the University of Szeged. His research primarily focuses on topics within probability theory and stochastic processes. Bezdány has contributed to the field through studies on the asymptotic behavior of critical Galton-Watson processes with immigration, showcasing his expertise in mathematical modeling and analysis. Based in Szeged, Hungary, he collaborates with fellow researchers to advance knowledge in theoretical and applied mathematics.
Najmeddine Attia obtained his Master’s and postgraduate degree in Mathematics at the Faculty of Sciences of Monastir, then pursued a Ph.D. at INRIA Rocquencourt and the University of Paris 13 under the supervision of Julien Barral. He was appointed as Assistant Professor at Monastir in 2012 and promoted to Associate Professor in 2022, the same year he joined King Faisal University.
His research primarily focuses on the multifractal analysis of branching random walks on Galton–Watson trees through Hausdorff and packing measures. He also investigates other fractal measures such as Hewitt–Stromberg and weighted packing measures, and more recently, he has developed an interest in fractal interpolation functions.
Shuhei Shibata is a master’s student at Kyushu University’s Joint Graduate School of Mathematics for Innovation. His research focuses on probability theory, particularly self-similar Gaussian processes and Elephant Random Walks. He received the Excellent Poster Award at FMfI2024 and has presented his work at the NUS Probability Seminar during a research visit to Singapore.
Tameem Almani is a Petroleum Engineering Systems Consultant and Research Scientist at Saudi Aramco and a Part-time Faculty Member at the Department of Mathematics at KFUPM. He is currently leading the software development of Saudi Aramco Geomechanics Expert (SAGE), and prior to that, he was leading the Reservoir Simulation Support Group (supporting GigaPOWERS Reservoir Simulation models). Tameem holds a B.S. degree in Computer Science, with first honors, from KFUPM, an M.S. degree in Computational and Mathematical Engineering from Stanford University, and an M.S. and Ph.D. degrees in Computational Sciences, Engineering, and Mathematics from the University of Texas at Austin, under the supervision of Prof. Mary F. Wheeler. His research interests span the areas of numerical methods for coupling fluid flow with geomechanics, and solving the related linear and nonlinear discretized systems, and he published more than 40 papers in top conferences and peer-reviewed journals.
Federico Sau is a mathematician whose research lies at the intersection of probability, statistical physics, and analysis.
He is currently a tenure-track Assistant Professor (RTT) at the University of Milan (UniMI), within the Department of Mathematics.
Prior to this position, Doctor Sau served as an Assistant Professor at the University of Trieste (UniTS), and was a Lise Meitner postdoctoral fellow at the Institute of Science and Technology Austria (ISTA), working in the research group led by Jan Maas.
In the fall semesters of 2022 and 2024, he was a visiting researcher at IMPA.
He earned his PhD from TU Delft, under the supervision of Frank Redig.
Yadh Hafsi recently completed his Ph.D. in Mathematics, defending his thesis on September 9, 2025, at the Institut Henri Poincaré (IHP), Paris.
His research focuses on mathematical finance and high-frequency trading, particularly optimal execution under incomplete information, order book modelling, stochastic control, and reinforcement learning. Starting October 1, 2025, he will begin a postdoctoral position at École Polytechnique, under the supervision of Huyên Pham, working on topics related to generative models via mean-field games and optimal transport.
His recent works include Optimal Execution with Reinforcement Learning (2024) and Uncovering Market Disorder and Liquidity Trends Detection.
Asma Khedher is an Associate Professor at the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam, specializing in stochastic analysis and its applications to finance and probability theory. Her research focuses on infinite-dimensional stochastic differential equations, stochastic volatility models, and processes with memory and jumps. She is particularly interested in applications to commodity derivatives, credit risk, and utility optimization.
She obtained her PhD from the University of Oslo in 2011 with a dissertation on Sensitivity and Robustness to Model Risk in Lévy and Jump-Diffusion Settings. Following this, she held a short postdoctoral position at CMA Oslo, and then a postdoctoral fellowship at TU Munich in the KPMG Center of Excellence in Risk Management, Germany.
Ibtissem Hdhiri is a mathematician whose research centers on stochastic differential equations, backward stochastic differential equations (BSDEs), and stochastic control theory. She earned her Master’s degree in Mathematics from the Faculty of Sciences of Tunis and later completed her Ph.D. thesis, from University of Le Mans, on backward stochastic differential equations and their applications to optimal control.
Her work extends to impulse control problems with execution delays, switching problems in models with jumps, and non-Markovian processes. Currently an independent researcher, she has published several contributions exploring the existence, uniqueness, and applications of BSDEs in optimization and control.
Colin McSwiggen is an Assistant Research Fellow (tenure‐track) at Academia Sinica in Taipei, having previously served as an NSF Postdoctoral Fellow and Courant Instructor at New York University, as well as holding postdoctoral appointments at the University of Tokyo and as a Chateaubriand Fellow at Sorbonne University. He earned his Ph.D. in Applied Mathematics from Brown University in 2020, after earlier studies in Industrial Design Engineering at RCA/Imperial College London and in Physics and Mathematics at MIT.
His research lies at the intersection of mathematical physics, probability, and analysis, with a particular focus on random matrices, integrable probability, Harish-Chandra/Itzykson–Zuber integrals, and asymptotic methods. He is also interested in applications of these techniques to problems in quantum inference and statistical physics.
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Evita Nestoridi is an Associate Professor in the Department of Mathematics at Stony Brook University. She is supported by the Simons Foundation Travel Support for Mathematicians (MPS-TSM-00007955) and the NSF research grant DMS-2450510.
Previously, she was a Research Associate at the Statistical Laboratory of the University of Cambridge and a College Research Associate at Emmanuel College. Before that, she served as an Instructor of Mathematics at Princeton University.
She completed her Ph.D. in Mathematics at Stanford University under the supervision of Persi Diaconis, and earned her Bachelor’s degree in Mathematics from the University of Athens, Greece.
Her research interests include Markov chains, combinatorics, representation theory, and probability.
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