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Jan von DelftView profile

Professor

• Correlated electron systems
• Quantum impurity models
• Quantum criticality
• +7 more

Jan von Delft is a Professor (chair) at Ludwig-Maximilians-University (LMU) Munich, working in the Faculty of Physics within the Chair of Theoretical Solid State Physics. His research group consists of postdocs, PhD students, and master's students working on various aspects of strongly correlated electron systems, with physical space located at Theresienstr. 37 (Room A420) in Munich. von Delft's research focuses on correlated electron and spin systems, with particular interest in dynamical and transport properties, quantum impurity models, Hund metals, unconventional superconductors, quantum magnets, and quantum criticality. His methodological expertise includes many-body field theory, parquet formalism (FRG), DMFT, and tensor networks (NRG, DMRG, PEPS, XTRG, etc.). His work bridges theoretical concepts with computational approaches to understand complex quantum phenomena in condensed matter systems. He has developed a distinctive emphasis on real-frequency calculations and numerical methods for studying quantum critical phenomena. Analysis of von Delft's recent publications reveals a strong focus on developing and applying advanced computational methods to study strongly correlated electron systems. His group has made significant contributions to numerical renormalization group techniques, tensor network methods, and the parquet formalism for calculating real-frequency correlation functions. His research shows increasing sophistication in handling quantum criticality, particularly in heavy-fermion systems, and exploring unconventional superconductivity mechanisms. Notably, his group has developed specialized computational libraries like KeldyshQFT to make these advanced methods more accessible to the broader physics community. von Delft actively mentors a substantial research group consisting of one postdoc (Markus Scheb), eleven PhD students (Anxiang Ge, Sasha Kovalska, Mathias Pelz, Marc Ritter, Nepomuk Ritz, Changkai Zhang, Markus Frankenbacher, Felipe Picoli, Simone Fodera, Ming Huang), and two master's students (Ester Pages, Gianluca Grosso). His detailed Style Guide for scientific communication demonstrates his commitment to high-quality research presentation. The group appears well-funded with ongoing research activities spanning theoretical development, computational implementation, and physical interpretation of complex quantum phenomena.

Benjamin Scott FlavelView profile

Research Professor

• Carbon Nanotubes
• Nanotechnology
• Photovoltaics
• +7 more

Dr. Benjamin Scott Flavel is a Research Group Leader at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Germany. His research focuses on carbon nanotubes and their applications in photovoltaics and sensing technologies. He leads a dynamic research team conducting cutting-edge work on the separation, purification, and application of single- and double-walled carbon nanotubes. Education: Doctor of Philosophy (Chemistry), Flinders University, Australia, 2010 Bachelor of Science in Nanotechnology (Honors), Flinders University, Australia, 2005 Habilitation in Materials Science, Technische Universität Darmstadt, 2018 His research interests lie at the intersection of nanotechnology and energy materials, particularly in carbon nanotube-based solar cells , chirality-specific separation techniques , and nano-sensing devices . His group has pioneered methods such as ATPE for enantiomer sorting and developed innovative solar cell architectures with industrial relevance. The research spans fundamental charge transport mechanisms to applied device engineering. The publication record shows a strong trend in advancing carbon nanotube photovoltaics, with key contributions in interface engineering, scalable fabrication, and high-efficiency CNT:Si solar cells. Work also extends to spectroscopic characterization, alignment techniques, and software tools for data analysis. Scientific Awards: Heisenberg Program, DFG (2018) Emmy Noether Program, DFG (2013) Alexander von Humboldt Research Fellowship (2011) Australian Government Endeavor Research Fellowship (2009) Bloom-Gutmann Prize, Royal Australian Chemical Institute (2008) Hope Meeting, Japanese Society for the Promotion of Science (2008) Research Fellowship, Flinders University (2007) Dr. Flavel has successfully advised multiple PhD students, including Dr. Moritz Pfohl, Dr. Katherine Moore, and Dr. Daniel Tune. His research has been supported by significant grants from the German Research Foundation (DFG), including funding for a double-walled carbon nanotube project and an organic evaporation system (~320,000 EUR). Collaborations span institutions such as NIST, Freie Universität Berlin, University of Antwerp, McMaster University, and University of Sydney. The research group operates within the Institute of Nanotechnology at KIT, utilizing advanced infrastructure for nanomaterials synthesis, characterization, and device fabrication. The team is recognized internationally, with work featured in Open Access Government , Research Features , and Europhotonics , and covered by Nanotechweb.

Franz Lennard RicklefsView profile

Professor

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +5 more

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

Estela SuarezView profile

Professor

• high performance computing (HPC)
• heterogeneous HPC system architectures
• modular supercomputing architecture (MSA)
• +4 more

Prof. Dr. Estela Suarez is a Professor of High Performance Computing at the Institute for Computer Science, University of Bonn (W2 in the Jülich Model) and Joint Lead of the Division "Novel System Architecture Design" at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich GmbH. She also leads the Research Group "Next Generation Architectures and Prototypes" at JSC and serves as Spokesperson of Helmholtz Information Program 1, Topic 2. Currently on sabbatical during the 2024/2025 and 2025 academic years, she remains active in research leadership roles. 2010: PhD in Physics from University of Geneva, Switzerland 2004: Master in Physics, Specialization in Astrophysics, University Complutense of Madrid, Spain Professor Suarez specializes in high performance computing with particular expertise in heterogeneous HPC system architectures and modular supercomputing architecture (MSA). Her research spans hardware prototyping and evaluation, system software development, operational data analysis, and co-design methodologies. She has pioneered approaches to address hardware heterogeneity through system-wide orchestration of diverse computing resources, enabling more efficient scientific computing across multiple domains. Her work bridges theoretical computer architecture with practical implementation challenges in exascale computing environments, focusing on real-world applications that require specialized hardware configurations. Professor Suarez's publication record shows a clear evolution from foundational work on the DEEP project (2016) through the development of modular supercomputing concepts (2019-2021) to current applications across diverse scientific domains (2022-2024). Her recent publications demonstrate how modular architectures can be effectively applied to climate modeling, neuroscience simulations, quantum chemistry calculations, and other computationally intensive fields. This trend highlights her focus on practical implementation challenges and the growing importance of adaptable computing architectures in modern scientific research. 2023/2024 Lehrpreis der Universität Bonn: UniBonn teaching award Professor Suarez has secured significant research funding through major projects including NUMERIQS (Projects A05, B02, and Z02), European Processor Initiative (EPI), DEEP-SEA (Software for Exascale Architectures), IFCES2 (optimization of simulation algorithms for exascale supercomputers), and AIDAS (virtual laboratory between Forschungszentrum Jülich and CEA on AI and data analytics). While currently not accepting new students due to sabbatical, she has previously mentored graduate students in high performance computing techniques and has delivered numerous invited lectures at international conferences. Professor Suarez leads the "Next Generation Architectures and Prototypes" research group at JSC and serves as Joint Lead of the "Novel System Architecture Design" division. She chairs the Research and Innovation Advisory Group (RIAG) from EuroHPC Joint Undertaking since 2024. Her work involves close collaboration with international research teams on advancing supercomputing architectures, including contributions to the University of Bonn's new HPC system "Marvin" which ranks on both the TOP500 and GREEN500 lists.

Olaf KaczmarekView profile

Researcher

• Quantum Chromodynamics (QCD)
• Lattice Field Theory
• High Energy Physics
• +3 more

Olaf Kaczmarek is a researcher at the Faculty of Physics , Bielefeld University , specializing in Lattice Quantum Chromodynamics (QCD) and Strongly Interacting Matter . He leads projects related to QCD thermodynamics , quark-gluon plasma , and heavy quark transport . Principal Investigator in TRR 211/2 Subproject A06: Hadronic Excitations and Spectral Functions in the Medium (2025) Co-PI in TRR 211/2 Subproject Z02: Software Development Center (2025) Contributor to GPUHEP2014 and LATTICE2024 symposia Research Focus: Thermal QCD phase transitions, heavy quark diffusion , transport coefficients , lattice simulations , and quarkonium spectroscopy . His work bridges theoretical physics and high-performance computing , particularly in Multigpu Systems for QCD calculations. Recent Publications explore topics like the chiral crossover , spatial string tension , and thermal photon production , with keywords spanning Quantum Chromodynamics , Lattice Gauge Theory , and High Temperature Physics . Teaching: Offers courses in Lattice Field Theory , GPU Computing , and Gradient Flow for graduate students. Contributes to collaborative seminars in the CRC-TR211: Strong-interaction matter under extreme conditions .

• Thermodynamics
• Computational Chemistry
• Molecular Modeling
• +3 more

Kai Leonhard is an Adjunct Professor at the Chair of Technical Thermodynamics , RWTH Aachen University. His research focuses on computational chemistry, thermodynamics, and molecular modeling, particularly in solvent design and reactive chemical processes. Department: Chair of Technical Thermodynamics Email: kai.leonhard@ltt.rwth-aachen.de Prof. Leonhard's work integrates quantum chemistry with computer-aided molecular and process design (CAMD/CAPD), emphasizing solvation thermodynamics, reaction kinetics, and machine learning applications. His projects span biofuel combustion, microgel synthesis, and sustainable solvent development. Recent publications highlight advancements in COSMO-RS-based solvent screening, reaction network exploration via ChemTraYzer-TAD, and multi-fidelity modeling for partition coefficients. He employs machine learning to enhance predictive thermodynamic models and optimize chemical processes.

Phil KingView profile

Professor

• Quantum Materials
• Topological Materials
• Angle-Resolved Photoemission Spectroscopy
• +7 more

Professor Phil King leads a research group within the School of Physics and Astronomy at the University of St Andrews, where he is part of the Centre for Designer Quantum Materials. His research focuses on the electronic structure and many-body interactions of quantum materials using electron spectroscopy, particularly angle-resolved photoemission (ARPES), and creating new designer quantum materials through atomic layer-by-layer growth. King's research interests center on quantum materials, with particular emphasis on topological matter, transition-metal oxides, and 2D quantum materials. His group investigates strain and pressure tuning of quantum materials, photoemission spectroscopy of correlated systems, and engineering band structures in 2D conductors. They develop methods to exploit strong electronic interactions in 2D systems to create new functional materials with tunable properties. Their approach combines experimental screening of candidate materials, bottom-up atomic assembly of custom heterostructures, and advanced spectroscopic feedback. Analysis of King's recent publications reveals a strong focus on the electronic structure of quantum materials, particularly transition metal dichalcogenides, delafossite metals, and topological systems. His work frequently examines charge density waves, spin-orbit coupling effects, Van Hove singularities, and quantum phase transitions. A notable trend is the integration of materials synthesis with advanced spectroscopic characterization, enabling precise control over electronic properties through strain engineering, doping, and heterostructure formation. King actively supervises PhD students on projects related to quantum materials, including probing elastic coupling in exotic magnets, angle-resolved photoemission from tailored mesostructures, thermodynamics and spectroscopy, oxide metals, and gate tuning of 2D quantum materials. His research is supported by major funding sources that enable access to cutting-edge equipment and international facilities. The King Group operates advanced experimental facilities including a high-resolution lab-based ARPES system with multiple light sources, and two DCA R450 molecular-beam epitaxy systems optimized for transition-metal oxides and chalcogenides. They are developing the UK's first spin-resolved ARPES capability. The group regularly utilizes major international facilities including Diamond Light Source, Elettra, SOLEIL, and HiSOR synchrotrons, as well as the ARTEMIS facility for time-resolved studies.

Carolin MüllerView profile

Assistant Professor

• Quantum Chemistry
• Chemoinformatics
• Spectroscopy
• +3 more

Prof. Carolin Müller is an Assistant Professor of the Theory of Electronically Excited States at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), leading the Computational PhotoChemistry (CPC) group since November 2023. Her research focuses on quantum chemistry, chemoinformatics, and spectroscopy, aiming to develop efficient computational methods for predicting light-driven chemical processes. She holds a PhD from Friedrich Schiller University Jena (2021) and postdoctoral experience at the University of Luxembourg (2022–2023) and Friedrich Schiller University Jena (2021–2022). Her work emphasizes machine learning integration for optimizing photochemical reactions and designing photocatalysts. Key achievements include contributions to the TEA Challenge 2023 on machine learning force fields and developing the SpaiNN model for excited-state simulations. Awards include the Thuringian Research Award (2023) and the Albert-Weller Award (2022). Research Interests: Light-driven processes, molecular design, excited-state dynamics, computational chemistry. Publications: Over 50 peer-reviewed articles, including high-impact contributions on machine learning in chemistry and photocatalytic systems. Grants/Awards: Multiple accolades for her innovative work in chemical compound space exploration and photocatalysis. Labs/Teams: CPC group at FAU, collaborating with institutions like the University of Luxembourg and Jena. Müller actively promotes interdisciplinary collaboration through conferences (e.g., Chemical Compound Space Conference 2026) and mentoring initiatives like the ARIADNE program.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +3 more

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

• Theoretical Chemistry
• Computational Chemistry
• Quantum Chemistry
• +7 more

Frank Neese is the Director and Managing Director (since 2024) of the Max-Planck-Institut für Kohlenforschung in Mülheim an der Ruhr, Germany, where he leads the Department of Molecular Theory and Spectroscopy. He holds honorary professorships at the University of Bonn (since 2013) and the University of Duisburg-Essen (since 2020), reflecting his strong academic affiliations. His research program bridges theoretical chemistry, quantum mechanics, and spectroscopy with applications in bioinorganic and materials chemistry. Education: Diploma in Biology, University of Konstanz (1993) Ph.D. (Dr. rer. nat.), University of Konstanz (1997) Postdoctoral Research, Stanford University (1997–1999) Habilitation, Universität Konstanz (2001) Frank Neese's research focuses on the development and application of advanced quantum chemical methods for understanding molecular electronic structures, particularly in transition metal complexes and metalloenzymes. His work emphasizes spectroscopic simulations (EPR, XAS, MCD, etc.) and reaction mechanisms in catalysis. He is renowned as the lead developer of the ORCA quantum chemistry software, a widely used tool in computational chemistry. His theoretical frameworks integrate density functional theory, wavefunction-based methods, and multiscale modeling to achieve high accuracy in predicting chemical properties. The 15 most recent publications highlight a consistent trajectory in electronic structure theory, with strong emphasis on spectroscopy, transition metal chemistry, and method development. Key themes include double-hybrid functionals, spin-state energetics, spin-orbit coupling, and QM/MM modeling of biological systems. The interdisciplinary nature of his work spans chemistry, biochemistry, and materials science, often targeting challenges in catalysis and energy conversion. Scientific Awards: Gottfried Wilhelm Leibniz Prize (2023) Humboldt Research Award ISACS Award Fellow of the Royal Society of Chemistry Member of the North Rhine-Westphalian Academy of Sciences Member of the Leopoldina Neese has secured extensive third-party funding for his research, enabling a large, interdisciplinary team of scientists and students. He actively mentors PhD and postdoctoral researchers, fostering the next generation of theoretical chemists. His leadership extends to official functions in scientific societies and editorial roles in major chemistry journals. The ORCA development team, which he heads, is a central hub for innovation in computational chemistry software. He leads a vibrant research group focused on method development and applications in molecular spectroscopy and reactivity. The team collaborates internationally and organizes the ORCA User Meeting, fostering a global community of users and developers in quantum chemistry.

Marcus VetterView profile

Professor

• Deep Learning
• Medical Technology
• Embedded Systems
• +4 more

Prof. Dr. Marcus Vetter is the founder and director of the Institute for Applied Artificial Intelligence and Robotics (A²IR) at Mannheim University of Technology's Faculty of Information Technology. His work bridges Deep learning Medical imaging and navigation Embedded systems Real-time computing Software engineering for medical devices He has taught courses including Deep Learning Methods, Image-Guided Medicine, and Embedded Systems. Education Computer Science, Technical University of Mannheim, 1999 Doctorate ('summa cum laude superato') in 'Image-based navigation systems', University of Heidelberg, 2003 Research focuses on AI-driven medical imaging tools, real-time deformation models, and open-source frameworks like MITK. His 15 most recent publications span 6D pose estimation for medical robotics Spectroscopy-based diagnostics Formal software verification Gesture and gaze recognition interfaces UAV drive train optimization Scientific achievements Doctorate with distinction (2003) Co-founder of MITK open-source project Director of A²IR institute since 2007 He has received BMBF grants for real-time deformation models and tracking systems, and has led development of navigation systems for laparoscopic surgery and cardiac ablation procedures.

Carolin MüllerView profile

Assistant Professor

• Computational Chemistry
• Molecular Dynamics
• Machine Learning
• +7 more

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 HaverkortView profile

Professor

• Strongly Correlated Electron Systems
• Quantum Many-Body Physics
• X-ray Spectroscopy
• +6 more

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 .

Sebastian BoschView profile

Researcher

• Material Analysis
• Cultural Heritage Studies
• Multispectral Imaging
• +3 more

Dr. Sebastian Bosch serves as Manager of the Mobile Lab at the University of Hamburg's Centre for the Study of Manuscript Cultures (CSMC). He leads material analysis initiatives for cultural heritage artifacts through advanced scientific instrumentation. His roles include managing XRF and FTIR spectrometers in the Mobile Lab, and contributing to the Cluster of Excellence 'Understanding Written Artefacts' (2019–2025). Key projects include the Palm-Leaf Manuscript Profiling Initiative and material analysis of medieval manuscripts. Bosch holds a PhD in material science and has extensive experience in non-destructive testing techniques. His work bridges archaeometry, digital humanities, and conservation science. Research interests focus on multispectral imaging, pigment characterization, and technological applications for cultural heritage preservation. He collaborates internationally on projects like the Atri Fragment Revisited and Squarcialupi Codex analysis. Technical expertise includes XRF spectroscopy, infrared microscopy, and software development for pattern analysis in manuscripts. Has presented over 27 academic activities, including lectures on Mobile Lab methodologies and material analysis workshops. Manages laboratory equipment worth millions euros, supporting interdisciplinary research. Supervises technical operations for dozens of manuscripts annually through the Mobile Lab's fieldwork capabilities. Awards: No formal academic awards listed, though work has been recognized through high-impact publications in journals like Manuscript Studies and i-com .

Dimitrios KarampinosView profile

Professor

• Magnetic Resonance Imaging (MRI)
• Biomedical Engineering
• Medical Imaging Technology
• +6 more

Prof. Dimitrios Karampinos is a Professor at the Technical University of Munich (TUM), leading the Experimental Magnetic Resonance Imaging group within the TUM School of Medicine and Health. He specializes in developing novel MRI techniques for quantitative biomarker discovery, focusing on musculoskeletal, metabolic, and oncological applications. His career includes a PhD from the University of Illinois (2008), postdoctoral research at UCSF (2009–2012), and leadership roles at TUM since 2012. Prof. Karampinos has pioneered advancements in MRI reconstruction, signal modulation, and biomarker validation for clinical translation. Educations: BSc in Mechanical Engineering (National Technical University of Athens, Greece), PhD in Biomedical Engineering (University of Illinois, Urbana-Champaign, 2008). Research Interests: Development of MRI measurement techniques, quantitative biomarkers for disease diagnosis, and improving therapy monitoring. Key areas include musculoskeletal disease imaging, metabolic disorder assessment, and oncology applications. His work emphasizes translating research into clinical practice through innovations like accelerated imaging, artifact correction, and AI-driven analysis. Awards: ERC Starting and Proof of Concept Grants (2015, 2019), TUM Supervisory Award (2020), ISMRM Junior Fellow (2011). Grants: Multiple ERC grants for MRI method development. Labs/Teams: Leads the Experimental Magnetic Resonance Imaging group at TUM, collaborating on clinical and technical MRI advancements.