Bertoin received in 1987 his doctorate from University of Paris VI under Marc Yor with Étude des processus de Dirichlet.[1] Bertoin taught and did research there and is now a professor at the University of Zurich.

In 1996 he received the Rollo Davidson Prize. In 2002 he was an Invited Speaker with talk some aspects of additive coalescents at the International Congress of Mathematicians in Beijing. In 2012 he was an Invited Speaker with talk Coagulation with limited aggregations at the European Congress of Mathematicians in Kraków. He is a corresponding member of the Mexican Academy of Sciences.  His research deals with Lévy processes, Brownian motion, branching processes, random fragmentation, and coalescence processes.

His doctoral students include Grégory Miermont.

Joshua Sparks is a mathematical statistician at the US Census Bureau and Adjunct Professor at The George Washington University in Washington, DC., USA. His research is in applied probability, focusing on random discrete structures, including the asymptotic behavior of random trees and urn models. Much of his work incorporates martingale theory, spectral decomposition, and analysis of algorithms to determine the probabilistic natures behind evolutionary models such as genetic dispersion and random networks. 

Dr. Azhar Saeed Alhammali  has obtained her Doctor of Philosophy in Mathematics in  4 June 2019 from Oregon State University, Corvallis, Oregon, USA,  under the supervision of Professor Malgorzata Peszynska

 Research Field: Applied Mathematics and Numerical Analysis

 Thesis title: Numerical Analysis of a System of Parabolic Variational Inequalities with Application to Biolm Growth

Professor Hsien-Kuei Hwang currently works, since 2013, at the Institute of Statistical Science, Academia Sinica, Taipei, as a Distinguished Research Fellow.  

• From 2006 to 2009, he was Deputy Director, Institute of Statistical Science, Academia Sinica, Taiwan 

• Research Fellow, Institute of Statistical Science, Academia Sinica, Taiwan (2002 - 2013).

• Deputy Director, Institute of Statistical Science, Academia Sinica, Taiwan (2001 - 2002).

• Associate Research Fellow, Institute of Statistical Science, Academia Sinica, Taiwan (1998 - 2002).

• Assistant Research Fellow, Institute of Statistical Science, Academia Sinica, Taiwan (1995 - 1998).

Professor Hsien-Kuei does research in Analysis of Algorithms, Analytic Combinatorics, Applied Probability, and Asymptotic Analysis. 

Robert Sedgewick is the founding chair and the William O. Baker Professor in the Department of Computer Science at Princeton University. He was a member of the board of directors of Adobe Systems from 1990 to 2016, served on the faculty at Brown University from 1975 to 1985, and has held visiting research positions at Xerox PARC, IDA, and INRIA. His research expertise is in algorithm science, data structures, and analytic combinatorics. He pioneered algorithm visualization and has been active throughout his career in developing a first-year college curriculum in computer science, exploiting technology to make that curriculum available to anyone seeking the opportunity to learn from it. Prof. Sedgewick is the author of twenty books, many of which have been used for decades around the world as textbooks and reference works. He is best known for his Algorithms textbooks, which have been bestsellers since the 1980s and have served generations of students, programmers, and developers. His 2008 book with Philippe Flajolet, Analytic Combinatorics, defines the field and was awarded the Leroy P. Steele Prize for mathematical exposition by the American Mathematical Society. Since massive open online courses (MOOCs) appeared on the scene in 2012, Sedgewick has been a leading figure in developing them and exploring ways to expand their effectiveness. His six courses on various platforms include some of the most popular on the web. With Kevin Wayne, he developed a scalable model that integrates the textbook, studio-produced online lectures, and extensive online content. Their most popular projects are Computer Science: An Interdisciplinary Approach and Algorithms which support teaching and learning for first-year computer science courses and have reached millions worldwide.

Ouknine is a full professor of mathematics at Cadi Ayyad University, Marrakesh, Morocco. His work focuses on probability theory and stochastic calculus. He has published more than 167 scientific articles in reputed international peer-reviewed journals such as Annals of Probability, Annals of Applied Probability, Stochastic Processes and their Applications, Electronic Journal of Probability, Electronic Communications in Probability, and Journal of Theoretical Probability. He has been a referee and co-editor of several scientific journals ranking high at the international level. He is also one of the initiators of international meetings in stochastic analysis and probability theory as well as several training schools in stochastic process theory in Morocco. He has been a resident member of the Hassan II Academy of Science and Technology, in Morocco, since 2006. 

I work in the field of applied and computational mathematics. My work involves mathematical modeling and analysis of PDEs, numerical and functional analysis, probability, and other sciences and engineering. My projects with students and collaborators range from rigorous analysis through algorithm development to applied simulations inspired by interdisciplinary applications and data science. 

 Bálint Vető is an associate professor at the Budapest

University of Technology and Economics (BME). He received his PhD in 2011 under the supervision of Bálint Tóth. He was a postdoctoral researcher at the Hausdorff Center for Mathematics at the University of Bonn working with Patrik Ferrari between 2011 and 2013. Between 2013 and 2016 he was a postdoctoral fellow of the Hungarian Academy of Sciences. His research in probability focuses on asymptotic fluctuations of models in the KPZ universality class such as interacting particle systems, non-intersecting trajectories, directed polymers, and random tilings. He is also interested in stochastic processes with self-interactions. 

 Assistant Professor, Department of Statistics and Operations Research King Saud University, 2024.

Ph.D. in Statistics, University of Leeds, Uited Kingdom, 2024.

M.Sc. in Statistics, University of Manchester, Uited Kingdom, 2016.

Professor  Stephan Wagner's research interests are primarily in discrete mathematics, with a focus on combinatorial probability (such as random trees, random graphs, and other random structures), as well as enumerative and analytic combinatorics, and graph theory. 

Doctor Shuo Qin research interests are Random walks and self-interacting random processes. Qin’s PhD dissertation, under the supervision of Professor Pierre Tarrès,  focused on three subtopics within this area, the most significant of which is known as the “elephant random walk” problem, which refers to an imagined scenario of an elephant taking steps, sometimes randomly and sometimes repeating past steps. The study shows how historical behavior can significantly influence current and future actions in memory-driven systems. The findings also contribute to the theoretical framework of reinforced random walks. Qin’s paper on this topic, “Recurrence and Transience of Multidimensional Elephant Random Walks” was accepted for publication in Annals of Probability in September. 

Dr. Banna  is an Assistant Professor of Mathematics at New York University Abu Dhabi. From 2016 to 2020, she was a postdoctoral researcher at Saarland University, working within the free probability research group led by Roland Speicher. Before that, she served as a CNRS postdoctoral researcher at Télécom ParisTech, hosted by Walid Hachem. In September 2015, she earned his Ph.D. from Université Paris-Est under the supervision of Florence Merlevède and Emmanuel Rio.

Naoki Kubota is an associate professor at the College of Science and Technology, Nihon University. His research focuses on probability theory, with specific interests in random walk in random environments (RWRE), first-passage percolation (FPP), and the frog model. He is actively engaged in advancing understanding within these areas of stochastic processes. 

Kamel Mazhouda is a Tunisian mathematician specializing in analytic number theory, particularly in the study of L-functions, the Generalized Riemann Hypothesis, and Li coefficients. He earned his Ph.D. in Mathematics in 2011 from the Faculty of Sciences of Tunis and later obtained his Habilitation. He currently serves as a lecturer at the Higher Institute of Applied Sciences and Technology of Sousse (ISSATSO) and is affiliated with the XLIM Research Institute in Limoges and the University of Valenciennes (UPHF) in France. His research focuses on the zeros of L-functions in the Selberg class and equivalences to the Generalized Riemann Hypothesis. He has published extensively and collaborates with researchers across Europe and North Africa. 

 Ida Germana Minelli earned her Ph.D. from the Università degli Studi di Padova in 2004, with a dissertation titled "Large Deviations for Random Evolution Equations." citeturn0search7 She is currently a professor in the Department of Engineering, Information Sciences, and Mathematics at the Università degli Studi dell’Aquila in Italy. Her research focuses on probability theory and stochastic processes, with notable publications including "Delay-induced periodic behavior in competitive populations" citeturn0search2 and "Interacting non-linear reinforced stochastic processes: synchronization and no-synchronization." citeturn0search3 She has also contributed to the academic community through her publications on ResearchGate. citeturn0search0