Prof. Dr. Jung Kyu Canci holds a PhD in Mathematics and Physics and an academic habilitation from the University of Basel. He is a recognized expert in Number Theory, with contributions in Diophantine Geometry, Arithmetic Dynamics, and Cryptography. More recently, he has expanded his research to applied fields such as Stochastic Differential Equations and Game Theory. He has held fellowships and research roles at prestigious institutions including Brown University, Max Planck Institute, and Scuola Normale di Pisa. In addition to his academic work, Dr. Canci has founded several companies, applying advanced data analysis for marketing optimization. He frequently speaks at international conferences and has published books and peer-reviewed articles in top-tier scientific journals.

Dr. Philipp Mekler holds dual PhDs in Biochemistry and Mathematics and brings over 45 years of experience across academia, biotech, and corporate strategy. He was Strategy Advisor at Roche Pharma AG, where he focused on data-driven innovation modeling. As co-founder and CEO of Adamant Biomedical Investments, he led strategic investments in life sciences. He also held executive positions at Novartis/Sandoz, including VP of Oncology Project Management. His academic work spans genomics, stochastic modeling, and Hawkes processes. Fluent in six languages, Dr. Mekler is known for his ability to bridge science, finance, and technology in healthcare innovation.

Mirko Antoniazzi is a seasoned frontend developer with a background in Computer Science from the University of Udine. He specializes in building both static and dynamic websites using HTML, CSS, JavaScript, and modern frameworks like Bootstrap and SASS. With strong skills in JavaScript, TypeScript, PHP, Python, and SQL, Mirko has delivered digital solutions for both public and private organizations. His experience includes consulting, custom interface development, and optimization of user experiences. Beyond development, he has also taught numerous programming courses focused on web technologies, databases, and SEO strategies, bridging the gap between theory and real-world application.

Antonio Maffia holds a PhD in Computer Science from the University of Basel and a degree in Computer Engineering from the University of Sannio. At Roche, he leads high-performance computing initiatives, focusing on automating CI/CD pipelines and developing internal containerization services using Docker and Singularity. His work ensures reproducibility and scalability of scientific applications, supporting researchers in deploying and optimizing complex computational tools. With a strong foundation in both hardware acceleration and software engineering, Antonio plays a key role in building robust, efficient computational infrastructures in life sciences research.

Dr. Aurélien Cavelan earned his PhD from the Ecole Normale Supérieure of Lyon, where he received recognition through the Gilles Kahn thesis prize. He later conducted postdoctoral research in Basel in mathematical modeling and HPC. Currently with the Swiss Tropical and Public Health Institute and sciCORE, he contributes to global health through the development of epidemiological models using advanced Bayesian optimization. Aurélien’s expertise spans software engineering, AI, server administration, and scientific computing. He is a core contributor to international projects like SPH-EXA and OpenMalaria, and has authored multiple articles in peer-reviewed journals.

Dr. Marco Antei is a mathematician with expertise in Algebraic and Arithmetic Geometry, and Cryptography. He holds a PhD from the University of Lille and a habilitation from the University of Côte d’Azur. He has over 15 years of academic experience, with appointments at institutions such as KAIST, Max Planck Institute, and University of Costa Rica. Currently teaching at the University of Applied Sciences and Arts of Lucerne, Marco has published extensively in international journals. He has supervised graduate theses, organized conferences, and is known for advancing knowledge in the intersection of algebraic structures and information security.

Professor Raffaele Argiento teaches Statistics at the University of Bergamo, specializing in Bayesian nonparametric methods and complex data analysis. His research includes applications in biology, ecology, and sports analytics. As principal investigator in numerous funded projects, he is a prominent contributor to the development and dissemination of Bayesian methodologies. Raffaele is Associate Editor of Statistics and Computing, and collaborates internationally, including regular visits to the National University of Singapore. He actively promotes statistical literacy through conferences and workshops, and is a long-standing member of ISBA and the Italian Statistical Society.

Young Lee is a data scientist with a PhD in Statistics from the London School of Economics and postdoctoral experience at Harvard University. His work bridges healthcare and AI, with a strong focus on Hawkes Processes, predictive modeling, and machine learning. He has held roles at the Singapore Ministry of Health, Roche AG, and the Australian National University. Young has contributed to research, policy, and financial institutions, including Deutsche Bank. His interdisciplinary background enables him to address complex problems in healthcare analytics with both academic depth and applied technical rigor.