Keynote Speakers
Our list of keynote speakers is growing – more to be announced shortly.
Prof. Mark Cronin
Liverpool John Moores University

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.
TBA
Timeslot: TBA
Dr. Sebastian Lobentanzer
Helmholtz Zentrum München

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.
Accessible biomedical AI: open-source frameworks for trustworthy agentic systems
Timeslot: TBA
Asst. Prof. Jiawei Wang
University of Bath

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.
Learning protein languages from microbes across different ecosystems
Timeslot: TBA
Prof. Dr. Sebastian Wicha
University of Hamburg

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.
Title: TBA
Timeslot: TBA
Prof. Kai Yang
Soochow University

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.
Computational design of artificial antimicrobial agents via entropy–enthalpy
optimization
Timeslot: TBA
Assoc. Prof. Mu Yuguang
Nanyang Technological University’s School of Biological Sciences

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.
End-to-end AI-based preclinical drug discovery platform
Timeslot: TBA
Assoc. Prof. Xiaojie Wu
Fudan University / Huashan Hospital

TBA
TBA
Timeslot: TBA
Dr. Yaxin Fan
Fudan University
TBA
TBA
Timeslot: TBA
ICAComP 2025 is organised by Monash University, Melbourne, Australia and University of Konstanz, Konstanz, Germany


Contact
ICAComP 2025 local organiser (icacompconference@gmail.com)
Monash University Center Prato, Prato, Italy