Tom Montenegro-Johnson is Deputy Pro Vice Chancellor for Research at the University of Warwick, and a Professor of Applied Mathematics at the world-leading Warwick Mathematics Institute, where he also serves as Director of Engagement for the Centre for Applications of Mathematical and Computational Science (CAMaCS). His work is interdisciplinary and broad, encompassing soft mechanics, transport phenomena, and complex interacting systems, and increasingly data science and AI. He collaborates with experimental scientists in Engineering, Chemistry, Biology, and Political Sciences. At CAMaCS, he drives research engagement with BIG (Business, Industry, Government) partners from a variety of sectors. He is the current holder of a prestigious Leverhulme Trust Research Leadership Award and has previously held a variety of other competitively funded positions, such as a Royal Commission for the Exhibition of 1851 Research Fellowship at the University of Cambridge.

Michael Ruzhansky is currently Senior Full Professor at Ghent University and Queen Mary University of London. He is internationally recognized for his groundbreaking contributions to analysis and PDE, spanning evolution, elliptic, subelliptic, and degenerate systems, with methods from harmonic, Fourier, geometric, and time-frequency analysis. Author of 7 books and over 200 publications, his research has earned exceptional acclaim, including two Ferran Sunyer i Balaguer Prizes (2014, 2018), the Daiwa Adrian Prize at the Royal Society, and the ISAAC Award. He has led major research projects, securing over €5.5 million in competitive funding, notably the Odysseus I Project (FWO) and an EPSRC Leadership Fellowship. His leadership extends to service as two-term President of the international Society for Analysis (ISAAC), chairing large international congresses, and shaping research as editorial board member of over 20 journals and major book series. Ruzhansky has delivered more than 70 plenary and invited lectures worldwide and actively promotes global collaboration, engaging with scientists across Europe, Asia, and the Americas. He is deeply committed to mentoring the next generation, having supervised 10 defended and 8 ongoing PhD theses, as well as 18 postdoctoral researchers, many of whom now hold professorships across Europe. His career reflects not only profound scientific achievements but also a lasting impact on the international mathematical community.

Jaqueline Mesquita is a Full Professor at the Institute of Mathematics, Statistics and Scientific Computing (IMECC) at the University of Campinas (Unicamp). She currently serves as President of the Brazilian Mathematical Society (2023–2027) and President of the Mathematical Union of Latin America and the Caribbean (UMALCA, 2025–2029). Her distinctions include the Science, She Says! Award (Italy, 2023), the title of Knight of the Order of the Star of Italy, the Outstanding Researcher Award from FAPDF, prize For Women in Sciences from L'Oréal, UNESCO and the Brazilian Academy of Sciences, and an Honorary Mention of the USP Alumni Award (2024). She serves on international scientific boards, including IMSA (University of Miami), Springer Nature's Latin American Research Advisory Council. Her research focuses on mathematical analysis, particularly functional differential equations and applications to mathematical biology.

Dr. Amy Wagler is the Director of Research Computing and Data Science at New Mexico State University (NMSU). At NMSU, she coordinates and leads efforts around high performance computing (HPC) and data-intensive interdisciplinary research. These activities are coordinated through her role at NMSU to collaborate with the 33 NMSU Extension Offices located throughout the state and Los Alamos and Sandia National Laboratories. She also works to broaden access to HPC facilities to predominantly undergraduate institutions (PUIs) in the State of New Mexico. She coordinates a team of interns at the NMSU HPC and is involved in developing materials for workforce training in HPC. In her previous academic appointment at The University of Texas at El Paso, she developed Masters and Doctoral level degree programs in data science and was a leader in broadening access to data science training regionally and nationally, through her roles as Associate Chair of Mathematical Sciences and Director of Data Science. She is a 2014 winner of the UT System Regent's Outstanding Teaching Award and received the C-USA Faculty Achievement Award in 2024. Her methodological research interests include multiplicity corrections in high-dimensional settings and simultaneous inference in generalized linear model settings. This has application in any high-throughput data setting focused on test outcomes with complex dependency structures. She is also active in research on graph theory modeling, with a focus on comparison of complex networks and error control in these model settings. With Pacific Northwest National Labs colleagues, she investigated the use of differential privacy models for generating synthetic data in biomedical studies. Additionally, she engages in many applied community-based projects in the data sciences, in areas such as biology, biomedicine, and education. She has also made contributions on communication in statistics and data science in varied cultural and linguistic contexts and the integration of statistics and science content in teaching and public communication.

Daniel is a Senior MPC Researcher at TACEO since November 2025, working in MPC, FHE, ZK and related topics. Prior to this he worked for 4.5 years at JP Morgan Chase on topics related to cryptography, finance and AI. Daniel received a PhD in Cryptography from Aarhus University under the supervision of Ivan Damgård. Daniel lives in Colombia, where he enjoys making music and motorcycle riding.

Carsten Burstedde originally studied Physics in Köln, Germany, where he worked already on computer simulations for his Diploma. Afterwards he obtained a doctorate from the Mathematics division in Bonn, where his focus was on efficient recursive encodings of function spaces. After a brief postdoctoral stay in Aachen, he moved to the University of Texas at Austin for five years, where he became involved in high performance computing research for solving partial differential equations arising in geodynamics. He started the p4est software then, which he continues to develop and maintain to this day with a number of collaborators, to abstract and isolate scalable parallel algorithms for dynamic adaptive mesh refinement. Since 2011, CB is a professor for scientific computing at the University of Bonn, Germany.