Mark Cronin is Professor of Predictive Toxicology at Liverpool John Moores University, UK. Internationally recognised for his expertise in non-animal, in silico chemical safety assessment, he has over 35 years of experience developing computational toxicology methods, particularly (Q)SARs and read-across techniques. His work includes QSAR modeling for aquatic toxicity and human health effects, employing methods from regression analysis to machine learning. Additionally, Cronin contributes significantly to areas such as quantifying Adverse Outcome Pathways (qAOPs), refining Threshold of Toxicological Concern (TTC) approaches, and developing structure-based screening tools for ecotoxicology and human health. He has participated in numerous EU projects, including CAESAR, COSMOS, eTRANSAFE, and RISK-HUNT3R.

Dr. Sebastian Lobentanzer is a biomedical researcher and software engineer specializing in systems pharmacology and computational biology. Currently, he is a Principal Investigator at Helmholtz Munich, leading the Computational Biology Unit at the German Centre for Diabetes Research, focusing on making biomedical AI accessible and user-friendly. His work emphasizes integrating open-source computational tools and Large Language Models to facilitate biomedical research, demonstrated by his leadership of the BioCypher project, which automates biomedical knowledge management to advance AI-readiness in biology.

Dr. Jiawei Wang is a Lecturer (Assistant Professor) in the Department of Life Sciences at the University of Bath, UK. Previously, he was a Marie Curie Fellow and an EMBO Non-Stipendiary Fellow at the European Bioinformatics Institute (EMBL-EBI), as well as a Junior Research Fellow at Wolfson College, University of Cambridge. With an interdisciplinary background in software engineering, computer science, and computational biology, his research focuses on integrating machine learning and deep learning with single-cell genomics, metagenomics, and bioimaging to better understand bacterial populations and embryonic development.

Prof. Dr. Sebastian Wicha leads the Clinical Pharmacy research group at the University of Hamburg, where his team focuses on optimizing anti-infective therapies. Their work integrates three key areas: quantitative bioanalysis to measure drug levels, advanced in vitro infection models to study efficacy, and pharmacometric modeling to simulate clinical outcomes. By combining these approaches, his team develops data-driven strategies for personalized dosing and creates model-informed software tools that translate this complex research directly into clinical practice.

Prof. Kai Yang is a professor at the School of Physical Science & Technology, Soochow University, where he leads the Soft Condensed Matter Physics & Interdisciplinary Research Center. His research focuses on the theoretical and computational study of soft matter and biophysics, with emphasis on polymers, colloids, complex fluids, glassy dynamics, and active matter. His work bridges fundamental physics with interdisciplinary applications across materials science and biology.

Associate Professor Mu Yuguang is a leading researcher at Nanyang Technological University’s School of Biological Sciences. His lab specialises in advanced biomolecular simulations, especially molecular dynamics studies of proteins, peptides (including folding, misfolding, amyloid formation), DNA/RNA, and CRISPR systems, often combining these with machine-learning techniques for drug discovery and protein–ligand binding prediction.

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