Invited speakers

Ander Biguri (University of Cambridge, United Kingdom)

Ander Biguri is an Assistant Research Professor at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the university of Cambridge and lead of the Computational Applied Tomography (CAT) group. 
He obtained his PhD at the University of Bath and CERN in 2018, on GPU accelerated reconstruction for 4D CBCT in radiation therapy. Subsequently held postdoctoral positions at the University of Southampton mu-Vis lab for scientific and industrial tomography, at UCL on dynamic PET reconstruction, and finally at Cambridge on data-driven reconstruction for CT. During his research time, and currently, Ander has focused in the translational lens of advanced inverse problems in imaging, particularly in medicine, but not only. This includes not only developing new mathematical methods for reconstruction, but also computational methods (GPU, HPC code) and software (TIGRE toolbox, LION toolbox), and applications driven research. Most of this effort is now into data-driven methods with theoretical guarantees.

Research interests: GPU-accelerated tomographic reconstruction, data-driven methods.

Alexandre Bousse (University of Western Brittany, France)

Alexandre Bousse is a researcher at the French National Institute of Health and Medical Research (Inserm) and part of the Laboratoire de Traitement de l'Information Médicale (LaTIM). His research is focused on medical image reconstruction. He is mostly interested in model-based iterative reconstruction and machine-learning techniques, and their implementation for the clinic. In this regard, he is at the interface between theoretical and translational research.

Research interests: model-based iterative reconstruction, machine learning techniques for medical image processing.

Beatrix Hiesmayr (Quantum Particle Workgroup, University of Vienna, Austria / IT:U, Austria)

Beatrix Hiesmayr is a researcher and lecturer at the University of Vienna and head of the Quantum Particle Workgroup. Her research focuses on quantum phenomena at high and low energies, from very mathematical issues to experimental and technical ones. She has been focusing e.g. on decay of positronium as a biological marker, on classification and detection of entanglement and on testing collapse models in quantum theory.

Research interests: quantum mechanics, quantum information, positronium, medical physics, quantum entanglement detection.

Yufang Hou (IT:U, Austria)

Yufang Hou is a university professor at IT:U – Interdisciplinary Transformation University Austria. At IT:U, she leads the NLP group with a strong focus on large language model (LLM) governance (with a particular focus on content veracity), computational argumentation, fact-checking, knowledge and reasoning, and human-centred multimodal NLP applications in education, science, and health. Yufang has served as a best paper award co-chair at IJCNLP-AACL 2025, a Visa Chair for EACL 2024, and as a Senior Area Chair for EMNLP (2022 – 2024) and NAACL (2024 – 2025). In the past, she has co-organized the 8th Workshop on Argument Mining, the SustaiNLP workshop series from 2021 to 2023, the 1st Workshop on Argumentation Knowledge Graphs, and the first Quantitative Summarization – Key Point Analysis Shared Task.

Research interests: natural language processing, large language models, computational argumentation and fact-checking.

Tomasz Małkiewicz (Nordic e-Infrastructure Collaboration)

Tomasz Małkiewicz is a Management Group member of CSC – IT Center for Science Ltd. of Espoo, Finland, and the Director of Nordic e-Infrastructure Collaboration (NeIC). Current NeIC projects consolidate Nordic and Baltic competence sharing in the fields of quantum computing, AI, research software engineering, corporate data databases and resource sharing in partnership with national e-Infrastructure providers.

Research interests: supercomputers, physics with supercomputers, e-infrastructure

Agnieszka Pollo (National Centre for Nuclear Research, Poland)

Professor and Scientific Director of the National Center for Nuclear Research, and also a professor at the Faculty of Physics, Astronomy, and Applied Computer Science of the Jagiellonian University. Involved in the creation of VIMOS VLT Deep Survey (VVDS), a comprehensive deep galaxy spectroscopic redshift survey, the head of the Polish node of the VIMOS Public Extragalactic Redshift Survey (VIPERS). Currently, the head of the Polish collaboration preparing for data analysis for the Legacy Survey of Space and Time (LSST) expected soon from the Vera Rubin Observatory in Chile, and of the Polish consortium of the space project POLAR-2.

Research interests: observational cosmology, extra-galactic astrophysics, statistical methods, machine learning, popularization of science.


The list of invited speakers in under construction and regularly updated.

Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×