Prof. Benjamin Stamm is a Professor of Numerical Mathematics at the University of Stuttgart, leading the Chair of Numerical Mathematics for High Performance Computing within Faculty 08. He holds a Ph.D. and master's degree in mathematics from École Polytechnique Fédérale de Lausanne (EPFL) and has previously worked at RWTH Aachen University, Sorbonne Université UPMC Paris 6, UC Berkeley, and Brown University. His research focuses on numerical analysis, scientific computing, and simulations, particularly efficient discretizations for PDEs, eigenvalue problems, error certification, reduced basis methods, and HPC implementations. He develops scalable numerical methods for problems in computational chemistry and physics, emphasizing accuracy, efficiency, and interdisciplinary collaboration with chemists, physicists, and materials scientists. Prof. Stamm’s work includes contributions to domain decomposition methods, polarization energy calculations, and software development like the ddX library. His publications span topics such as model order reduction, quantum simulations, and molecular dynamics. Collaborations and software tools underscore his commitment to bridging computational methods with real-world scientific challenges.
Cristiano Porciani is Professor of Astrophysics at the University of Bonn's Argelander Institute for Astronomy, specializing in cosmological structure formation and galaxy evolution. He leads a research group working on numerical simulations of large-scale structure and theoretical cosmology. His research focuses on dark matter distribution, galaxy bias, and cosmological parameter estimation using perturbation theory and high-performance computing. Recent work examines relativistic effects in large-scale structure and intensity mapping techniques. Publications show strong emphasis on Euclid mission science, including instrument characterization, survey simulations, and cosmological tests. Article trends reveal consistent development of statistical methods for analyzing next-generation sky surveys. Supervises 9 graduate students working on cosmological simulations, galaxy clustering statistics, and radiative transfer modeling. Leads research projects within the Euclid Consortium and Transregional Collaborative Research Centre.
Zhang Yang is an Associate Professor at the School of Medical Engineering, Harbin Institute of Technology (Shenzhen), with a joint appointment as Visiting Professor at the University of Tokyo starting in July 2024. He holds a PhD from the University of Cambridge's Department of Pathology and an M.Phil. from the University of Hong Kong's HKU-Pasteur Research Center. Previously, he served as an Assistant Professor at Harbin Institute of Technology (Shenzhen) from September 2015 to December 2020. His research integrates computational and experimental approaches to address challenges in pathogen and cancer research. On the computational side, his work focuses on developing AI-powered microscopic imaging systems, applying deep learning to analyze multi-omics data (including proteins, DNA, miRNAs, LncRNAs, and mRNAs), and utilizing deep learning in cheminformatics for drug discovery. On the experimental side, his laboratory combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to understand disease mechanisms at the molecular level. His publication record demonstrates significant impact, with over 50 SCI-indexed papers in high-impact journals including Nature Communications, Briefings in Bioinformatics, Bioinformatics, Analytical Chemistry, and Trends in Biotechnology. His work has been cited by prestigious journals such as Nature Reviews Methods Primers and Nature Communications, with three ESI highly cited papers. His research spans multiple interdisciplinary fields, combining artificial intelligence with biomedical applications to advance diagnostic and therapeutic approaches. World's Top 2% Scientists 2021 Fellow of the Royal Society of Biology Three ESI Highly Cited Papers Five authorized national invention patents As an academic leader, he serves as Associate Editor for BMC Biology and Frontiers in Microbiology, Academic Editor for PLOS Genetics, Editorial Board Member for Communications Biology, and Guest Editor for a Special Issue on AI in analytical chemistry in Trends in Analytical Chemistry. His laboratory actively collaborates with international institutions, with graduates pursuing further studies at Hong Kong Chinese University, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, Macau University, and the University of New South Wales. He teaches Introduction to Modern Biology for undergraduates and Bioanalytical Chemistry for graduate students.
Yafang Cheng is Director of the Aerosol Chemistry Department at the Max Planck Institute for Chemistry since 2024, with concurrent appointments as Guest Professor at Peking University (2023-) and Distinguished Guest Professor at University of Science and Technology of China (2021-). Her research integrates experimental methods , multi-scale modeling , and machine learning to advance understanding of aerosol particle dynamics and their impacts on air quality , public health , and climate change . Ph.D. in Environmental Sciences (Peking University, 2007) B.Sc. in Environmental Sciences (Wuhan University, 2001) Her work focuses on reactive nitrogen chemistry , aerosol acidity , black carbon effects , and planetary boundary layer interactions . She has developed novel instrumentation for aerosol analysis and pioneered machine learning applications in atmospheric science. Recent publications emphasize black carbon mitigation strategies (One Earth 2023), aerosol microdroplet pH (Chem 2023), and SARS-CoV-2 transmission modeling (Science 2021). These studies demonstrate interdisciplinary approaches spanning environmental chemistry , climate physics , and public health policy . Fellow: AAAS (2023), AGU (2022) Joanne Simpson Medal (AGU, 2022) Science Breakthroughs of the Year (Falling Walls, 2021) Highly Cited Researcher (Web of Science, 2021-2022) Minerva Outstanding Female Scientist Award (2014) She has mentored 38 early-career researchers (21 postdocs, 17 PhD students) who have achieved professorships , tenured positions , and international awards . Her institutional leadership includes initiating academic exchange programs between European and Chinese institutions.
Carolin Müller is a Juniorprofessor for the Theory of Electronically Excited States at the Friedrich-Alexander University Erlangen-Nuremberg since November 2023. Previously, she was a Feodor Lynen Postdoctoral Researcher at the University of Luxembourg (June 2022-October 2023) and a Postdoctoral Researcher at Friedrich Schiller University Jena (March 2021-May 2022). Dr. Müller received her B.Sc. (2016) and M.Sc. (2018) in Chemistry from Friedrich Schiller University Jena, followed by her Ph.D. (Dr. rer. nat) in 2021 from the same institution. Her doctoral research focused on "Towards Operando Spectroscopy of Supramolecular Photocatalysts – A Case Study on Ru-dppz-derived Systems" under the supervision of Prof. B. Dietzek-Ivanšić. Dr. Müller's research focuses on the theoretical understanding of photoinduced processes in molecules and materials. Her group (CPC Group) investigates electron transfer processes, isomerization reactions, and excited-state dynamics with the goal of controlling and optimizing light-driven processes for increased reactivity and efficiency. Her work combines computational chemistry, spectroscopy, and machine learning approaches, specifically utilizing methods like TD-DFT, CASSCF, molecular/quantum dynamics, and cheminformatics techniques including SVD, MCR, and global/target lifetime analysis. Her recent publications demonstrate a strong interdisciplinary approach spanning computational chemistry, spectroscopy, and machine learning. Key themes include nonadiabatic molecular dynamics, excited-state simulations, photoswitch design, photocatalysis, and the development of computational tools like KiMoPack for kinetic modeling. Her work often bridges theoretical predictions with experimental validation through close collaboration with spectroscopy research groups. Feodor Lynen Research Fellowship (Alexander von Humboldt Foundation) Thuringian Research Award 2023 for Applied Research Albert-Weller Award (German Chemical Society) Dissertation Award (Faculty of Chemistry and Earth Sciences) FCI Kekulé PhD fellowship As a Juniorprofessor, Dr. Müller leads the CPC Group at FAU, where she mentors students in computational chemistry research. She has developed expertise in combining spectroscopic techniques (resonance Raman, transient absorption, and time-resolved emission spectroscopy) with computational methods and cheminformatics approaches. She also actively contributes to the scientific community through service roles including co-organizing the ESTML 2023 Workshop and serving as an active member in the yPC organization of the German Bunsen Society. Dr. Müller is actively developing the CPC Group research program at the Computer Chemistry Center, focusing on light-induced physical processes and chemical reactions. Her group combines quantum chemistry, chemoinformatics, and experimental spectroscopy to reveal mechanisms behind photoinduced phenomena and optimize light-driven processes.
Maurits Haverkort is a Professor at the Institute for Theoretical Physics, Heidelberg University (Germany). His research focuses on quantum many-body systems , strongly correlated electrons , and X-ray spectroscopy of complex materials under strong fields. University of Cologne (PhD in Physics, 2005) University of Groningen (M.Sc. in Physics, 2002) Research Interests : He investigates orbital and magnetic properties in heavy fermion systems , actinide materials , and correlated oxides using resonant inelastic X-ray scattering (RIXS) , ARPES , and computational tools like Quanty . His work spans crystal field theory , spin-orbit coupling , and ultrafast electron dynamics . Scientific Awards & Activities : 2018 – Editorial Board Member, Physical Review Letters 2017 – Beam Time Allocation Panel, ESRF Grenoble 2016–2018 – Swedish Research Council Panel NT-4 2012–2016 – Scientific Selection Panel, Helmholtz-Zentrum Berlin Recent Publications highlight 5f electron counting , photon-modulated bonding , and precision neutrino mass experiments , reflecting his expertise in quantum materials and advanced spectroscopy .
Dr. Wolfgang Hübner is a Researcher at the Faculty of Physics at University of Bielefeld, Germany, affiliated with the Biomolecular Photonics Group. His work focuses on advanced optical imaging techniques applied to cellular and molecular structures. He maintains an active research program as evidenced by numerous publications from 2023-2025. His research interests center on photonics, biophotonics, optical microscopy, super-resolution imaging techniques, cellular biophysics, and molecular imaging. Dr. Hübner's work bridges physics and biology, developing and applying cutting-edge microscopy methods to address biological questions at the nanoscale level. His recent publications demonstrate a strong focus on super-resolution microscopy techniques, particularly structured illumination microscopy, fluorescence lifetime imaging, and correlative imaging approaches. His research investigates cellular structures like liver sinusoidal endothelial cells, dystroglycan mutants, and mitochondrial dynamics, revealing how advanced optical methods can visualize biological processes at unprecedented resolution. Dr. Hübner's research shows consistent development in both methodological advances in optical imaging and biological applications. His work spans from fundamental optical engineering to biomedical applications, demonstrating interdisciplinary expertise across physics, engineering, and cell biology.
Balázs Fábián is a postdoctoral researcher at the Max Planck Institute of Biophysics in the group of Gerhard Hummer. He holds a PhD from the University Bourgogne Franche-Comté (France) and Budapest University of Technology and Economics (Hungary). His research focuses on molecular dynamics simulations of lipid membranes and viral systems, particularly studying viral budding mechanisms in enveloped viruses like HIV. Fábián’s work bridges computational biophysics and membrane biology, with applications ranging from anaesthesia mechanisms to neurodegenerative diseases. Education: BSc and MSc in Chemical Engineering from Debrecen and Budapest Universities (Hungary), followed by a PhD in Biophysics. Previously, he conducted postdoctoral research at the Czech Academy of Sciences and the Max Planck Institute. Research Interests: Computational modeling of lipid bilayers, viral membrane interactions, anaesthetic effects on membranes, and protein aggregation in neurodegenerative contexts. His methods include molecular dynamics simulations and coarse-grained modeling (e.g., Martini force field). Teaching and Mentorship: Guides junior researchers in computational techniques and simulation methodologies. Active in conference presentations and publication preparation. Future Goals: Aims to lead a junior research group via the Emmy Noether program, focusing on advancing computational tools for membrane systems and viral dynamics.
Prof. Dr. Wolfgang Paul is a faculty member at Martin Luther University Halle-Wittenberg, affiliated with the Institute of Physics under the Faculty of Natural Sciences II - Chemistry, Physics and Mathematics. His research focuses on Polymer dynamics using chemically realistic and coarse-grained models via Molecular Dynamics simulations Glass transition phenomena in polymers Phase diagrams of synthetic and biological polymer chains Soft-particle modeling of diblock copolymers Method development in computational statistical physics Quantum mechanics as conservative diffusion processes (Nelson's stochastic mechanics) Swarming behavior as non-equilibrium phase transitions Contact details include his office at Room 1.13, von Seckendorff Platz 1, Halle (Saale), telephone number 0345-5525440, and email Wolfgang.Paul@physik.uni-halle.de.
Prof. Dr.-Ing. Katharina Schmitz serves as Institute Director and Vice Dean at the Institute for Fluid Power Drives and Systems, RWTH Aachen University. Her leadership within the Production Technology Cluster and extensive contributions to fluid power engineering establish her as a leading authority in mechanical engineering research and education. Her research spans fluid power systems, hydraulic component design, tribology, and physics-informed machine learning applications. She pioneers sustainable propulsion solutions through bio-hybrid fuels research while addressing fundamental challenges in polymer material behavior under hydraulic stresses. Current work focuses on carbon-neutral heavy-duty transportation, physics-based neural networks for lubrication modeling, and advanced control systems for electro-hydraulic actuators. Analysis of her 15 most recent publications reveals a dominant trend toward integrating physics-based modeling with deep learning to solve complex engineering problems. Her team consistently develops novel frameworks for cavitation prediction, flow rate determination, and material compatibility assessment - significantly advancing fluid power system reliability, efficiency, and digitalization. Scientific recognition includes: GfT Förderpreis 2023 for experimental and simulative investigation of partially hydrostatic relieved contacts in variable speed axial piston machines As head of the Institute for Fluid Power Drives and Systems, she leads cutting-edge research in sustainable fluid power technologies. The institute maintains strong industry partnerships while driving innovation in hydraulic component design, digital twins for condition monitoring, and next-generation propulsion systems through its position within RWTH Aachen's Production Technology Cluster.
Géza Giedke is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) in Donostia-San Sebastián, Spain. His research focuses on quantum information theory and its implementation in solid-state and quantum optical systems, with particular emphasis on entanglement, quantum channels, and the dynamics of open quantum systems. His educational background includes a Dr. rer. nat. (Doctor of Natural Sciences) from the University of Innsbruck, Austria. Prior to his current position, he has held research positions at the University of Innsbruck (Austria), Max Planck Institute of Quantum Optics in Garching and Technical University of Munich (Germany), and ETH Zurich (Switzerland). Dr. Giedke's research interests span multiple areas of quantum physics and quantum information science. His work explores the theoretical foundations of quantum information processing while also addressing practical implementation challenges in solid-state systems. He has made significant contributions to understanding entanglement in fermionic systems, quantum channels, and the application of quantum information concepts to condensed matter physics. His recent work has increasingly focused on quantum phenomena in graphene-based nanostructures and their potential for quantum information processing applications. His publication record demonstrates a strong trajectory from fundamental quantum information theory to more applied work connecting quantum information concepts with condensed matter physics, particularly in the realm of graphene nanostructures and quantum transport phenomena. Dr. Giedke has secured significant research funding, including the recently granted GRAFIQ project (2023-2027) on 'Harnessing quantum spin states, dynamics, and transport in graphene-based nanostructures' and the TENINT project (2023-2025) on 'Tensor network methods for interacting electrons in quasi-1d graphene nanostructures.' He actively mentors PhD students and postdoctoral researchers, currently supervising several researchers working on various aspects of quantum information in solid-state systems. Dr. Giedke also organizes major scientific events, including the Basque Quantum Science and Technology Workshops and the Nanotechnology meets Quantum Information Summerschool.
Jingling Xue is a Scientia Professor at the School of Computer Science and Engineering at the University of New South Wales (UNSW) in Sydney, Australia. As an IEEE Fellow of the Computer Society, he leads the Programming Languages and Compilers research group, focusing on practical applications of compiler optimization and program analysis techniques. His work bridges theoretical foundations with real-world software systems, particularly in developing open-source tools for large-scale program analysis. Professor Xue received his B.Eng and M.Eng degrees from Tsinghua University in 1984 and 1987, respectively, followed by a PhD from the University of Edinburgh in 1992. His academic journey has established him as a leading figure in programming languages and compiler technology. Xue's research spans programming languages, compiler technology, and program analysis with emphasis on practical relevance. His current projects include compiler techniques for improving parallelism and locality, pointer/alias analysis for million-line-scale programs, and static/dynamic analysis for detecting bugs and security vulnerabilities in real-world applications like web browsers and Android apps. His group actively develops open-source tools to support scientific replicability and reproducibility in these areas. His recent publications demonstrate a strong focus on applying program analysis techniques to modern challenges including AI compilers, homomorphic encryption, security vulnerability detection, and graph processing systems. The work shows evolution from traditional compiler optimization to addressing emerging domains like privacy-preserving computation and deep learning systems while maintaining rigorous theoretical foundations. Scientific Awards: Best Paper Award at CGO'13 Best Paper Award at CGO'16 Distinguished Paper Award at ECOOP'16 Distinguished Paper Award at ICSE'18 Distinguished Paper Award at ISSTA'19 Distinguished Paper Award at ASE'19 Distinguished Artifact Award at ISSTA'23 Best Artifact Award at FSE'23 Distinguished Paper Award at ASE'23 Test-of-Time Award at CGO'21 Professor Xue has successfully supervised 30 PhD students to completion, many of whom now work as professors or researchers in academia and industry. He has served as Program Chair for major conferences including LCTES'13, CC'18, CGO'20, and General Chair for LCTES'20. His group currently focuses on memory safety in Rust, smart contract analysis, AI compilers, compilation for privacy-preserving computation, and adversarial attacks in deep learning. The Programming Languages and Compilers group maintains strong connections with industry partners, translating theoretical advances into practical tools for real-world software development challenges. Their work on pointer analysis, memory safety, and compiler optimizations continues to influence both academic research and industrial practice.
Prof. Dr. Marialore Sulpizi is a Professor of Theoretical Physics of Electrified Liquid-Solid Interfaces at Ruhr-University Bochum, Germany, and a core member of the RESOLV Cluster of Excellence. Previously, she served as Junior Professor (2010–2017) and Adjunct Professor (2017–2021) at Johannes Gutenberg University Mainz. Her research focuses on molecular-scale understanding of electrified solid-liquid interfaces using ab initio and atomistic simulations, addressing phenomena like charge/mass transport in energy conversion and biomembrane systems. She holds a Laurea (M.Sc.) in Theoretical Physics from Università di Roma La Sapienza (1997) and a PhD in Condensed Matter Theory from SISSA (2001), followed by postdoctoral work at EPFL/ETHZ (Switzerland) and the University of Cambridge (UK). Research interests span interfacial electrochemistry, nanomaterials, and environmental interfaces. She explores how interfacial structure influences reactivity in systems like platinum electrodes, gold nanoparticles, and silicate surfaces. Key contributions include modeling electrolyte double layers, nanoparticle growth mechanisms, and surface acidity effects. Publications (2021–2025) highlight advancements in interfacial dynamics, ionic liquid confinement, and biomolecular solvation. Her work bridges fundamental physics with applied challenges in energy storage and biointerfaces. Collaborations with experimental groups enable validation of simulation predictions. Current projects investigate non-equilibrium interface behavior and solvent roles in chemical reactions.
Kurt Kremer serves as Director and Scientific Member of the Theory Department at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany, a position he has held since 1995. His leadership oversees a multidisciplinary research group focused on computational soft matter physics, with close collaboration from senior scientists including Dr. D. Andrienko, PD Dr. Kostas Daoulas, and Dr. R. Cortes-Huerto. His research spans statistical physics , computational methods , and multiscale modeling of soft matter systems, with emphasis on polymers, biopolymers, membranes, organic electronics, and glassy dynamics. The group develops advanced simulation techniques like adaptive resolution methods and coarse-grained modeling to study structure-process-property relationships in synthetic and biological materials. Analysis of his co-authored publications (2015–2019) reveals dominant trends in free energy calculations , finite-size effects in simulations , and mesoscale self-assembly phenomena , particularly in conjugated polymers and nematic systems. Keywords consistently include computational physics, thermodynamics, and polymer science with subfields spanning adaptive resolution frameworks, solvation thermodynamics, and charge transport mechanisms. Key recognition includes membership in the German National Academy of Sciences (Leopoldina). Notable alumni from his research group include Prof. B. Baumeier (TU Eindhoven) and Prof. D. Donadio (UC Davis), who have established independent careers in biophysics and materials science. Kremer mentors a team of senior scientists and postdoctoral researchers, driving projects funded through Max Planck Society resources and collaborative grants. Current work emphasizes bridging atomistic simulations with continuum models for organic electronic materials and nonequilibrium molecular dynamics.
Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.
