Find Academic Supervisors

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +5 more

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

• Anterior Eye Imaging
• Diabetic Neuropathy
• Neurobiology of Ocular Surface Symptoms
• +3 more

Dr. Katie Edwards is an Associate Professor in the School of Clinical Sciences at Queensland University of Technology (QUT), specializing in Optometry and Vision Science. She holds a PhD from the University of New South Wales (UNSW) and has contributed extensively to research on anterior eye disease, diabetic neuropathy, and ocular surface symptoms. Her work bridges clinical practice and translational research, focusing on corneal imaging as a biomarker for systemic conditions. Edwards leads the Anterior Eye Lab and serves as Associate Editor for Clinical and Experimental Optometry . Her research interests include cellular imaging of the anterior eye, systemic disease markers, and neurobiology of ocular symptoms. Notable contributions include studies on corneal nerve changes in diabetes and the role of the ocular surface in systemic health. Edwards has received the Juvenile Diabetes Research Foundation Postdoctoral Fellowship (2013) and has authored over 20 peer-reviewed articles. Teaching focuses on anterior eye anatomy, physiology, and disease management. Her lab investigates cutting-edge techniques such as in vivo confocal microscopy and explores clinical applications of ocular findings to broader health diagnostics.

Douglas L. RothmanView profile

Professor

• Magnetic Resonance Spectroscopy
• Biomedical Imaging
• Metabolic Pathways
• +3 more

Douglas L. Rothman is a Professor of Biomedical Engineering at Yale University, with additional appointments in Radiology & Biomedical Imaging. His research focuses on developing magnetic resonance spectroscopy and imaging methods to non-invasively study metabolic and neurotransmitter pathways in humans and animal models. Education: Ph.D. from Yale University. Research interests include advancing functional MRI techniques, cerebral energetics, and neurophysiological imaging. His work bridges engineering and neuroscience to enhance understanding of brain activity and disease mechanisms. Publications highlight contributions to olfactory bulb imaging, neuroenergetics, and fMRI methodology. Notable collaborations include studies with Fahmeed Hyder and G.M. Shepherd. No scientific awards explicitly listed in the text. Advising and grant activities are not detailed here. Associated with Yale’s Biomedical Imaging Institute, leveraging imaging technologies to address human disease research.

Cynthia H. McColloughView profile

Professor

• Computed Tomography (CT) Imaging Technology
• Radiation Dose Management
• Material Composition Evaluation via CT
• +3 more

Cynthia H. McCollough, Ph.D., is a Professor of Biomedical Engineering and Medical Physics at Mayo Clinic, where she serves as a Consultant in the Department of Radiology. She leads the CT Clinical Innovation Center, focusing on advancing CT imaging technology and clinical applications. Her work emphasizes radiation dose reduction, quantitative material composition analysis (e.g., kidney stones, gout), and optimizing CT protocols for diagnostic accuracy while minimizing patient risk. Dr. McCollough holds leadership roles in national and international organizations, including the NIH Biomedical Imaging Technology Study Section and the American Association of Physicists in Medicine (AAPM). She has received numerous awards, including the Distinguished Investigator Award from Mayo Clinic and the William D. Coolidge Gold Medal from AAPM. Her research spans photon-counting CT, dual-energy CT, and translational imaging solutions for vascular and abdominal diseases. Dr. McCollough’s academic contributions include over 600 peer-reviewed publications and leadership in grant-funded projects such as the National Institute of Biomedical Imaging and Bioengineering initiatives. Education: PhD in Medical Physics from the University of Wisconsin-Madison, MS in Medical Physics from the University of Wisconsin-Madison, BS in Physics from Hope College. Research Highlights: Her lab develops tools for radiation dose estimation, non-invasive material characterization via CT, and optimizing CT parameters using human and model observers. Recent work includes improving kidney stone analysis, bone mineral density measurements using photon-counting CT, and reducing radiation exposure in pediatric imaging. Grants & Funding: Principal investigator on multiple NIH grants, including projects on coronary atherosclerosis characterization, urinary stone composition analysis, and photon-counting CT for vascular disease detection. Awards: Over 100 awards, including the Distinguished Mayo Clinic Investigator Award (2020), Honorary Doctorate from Linkoping University (2020), and AAPM’s highest honor, the William D. Coolidge Gold Medal (2024). Labs & Teams: Directs the CT Clinical Innovation Center and the X-Ray Imaging Research Core at Mayo Clinic, collaborating with multidisciplinary teams across radiology, biomedical engineering, and physics.

Ørjan Grøttem MartinsenView profile

Professor

• Bioimpedance
• Biomedical Physics
• Electronics and Instrumentation
• +3 more

Ørjan Grøttem Martinsen is a Professor of Electronics at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. He also holds a temporary research position at the Medical Technology Business Area of Oslo University Hospital. With over three decades of experience, he has established himself as a leading expert in bioimpedance research and applications. Education: High-voltage engineer degree (1983) Cand. scient. in electronics/measurement technology (1990) Dr. scient. with thesis on skin's electrical properties (1995) Professor Martinsen's research centers on bioimpedance—the passive electrical properties of biological tissues that vary with anatomy and physiology. His work spans diverse applications including medical diagnostics (skin cancer detection), food quality assessment (fresh vs. thawed fish), skin condition monitoring (moisture levels), and stress level evaluation. His research bridges physics, engineering, and medical applications, creating practical diagnostic tools from fundamental electrical principles. He has pioneered methods to characterize tissue properties through impedance measurements, with particular focus on electrodermal activity and skin impedance. His recent publications (2022-2025) demonstrate a strong interdisciplinary approach combining bioimpedance with machine learning, robotics, and advanced signal processing. The work spans from fundamental biophysics (GABA detection, tissue characterization) to practical applications (dental anxiety assessment, ADHD treatment evaluation). Key trends include integration of AI with bioimpedance measurements, development of novel sensor systems, and expansion into new application areas like optogenetics and micro-robotics. Awards and Recognition: IEEE Senior Member (2006) CLABIO Award (2012) Fellow at Institute of Physics (FInstP) (2015) Dr. Honoris Causa, Tallinn University of Technology (2018) UiO Innovation Award (2019) Member of Norwegian Academy of Technical Sciences (2021) Professor Martinsen has served as Editor-in-Chief of the Journal of Electrical Bioimpedance since 2010 and was President of the International Society for Electrical Bioimpedance (2010-2016). His research has attracted significant funding, enabling collaborations across engineering, medical, and biological disciplines. He has supervised numerous students and researchers in the Bioimpedance Group at UiO, fostering a strong research environment that bridges theoretical and applied work. His work is conducted primarily through the Oslo Bioimpedance Group and Sensorama SmartSense research teams, which focus on developing innovative measurement techniques and applications of bioimpedance technology. These groups maintain strong collaborations with medical institutions and industry partners to translate research findings into practical healthcare solutions.

Jonathan MamouView profile

Professor

• Quantitative Ultrasound Imaging
• Biomedical Engineering
• Medical Imaging
• +5 more

Jonathan Mamou is a Professor of Electrical Engineering in Radiology at Weill Cornell Medical College since 2024. His research focuses on quantitative ultrasound imaging, biomedical engineering, medical imaging, and acoustic microscopy. Ph.D., University of Illinois (2005) M.S., University of Illinois (2002) B.S., Telecom Paris (2000) His research bridges electrical engineering and radiology, developing advanced ultrasound techniques for medical diagnostics. Key areas include quantitative acoustic microscopy , biomechanical tissue analysis , and machine learning in ultrasound imaging . Recent work spans prostate cancer detection , placental microstructure characterization , and myopia-related scleral changes . His publications (2025–2023) highlight innovations in high-frequency ultrasound for ophthalmology, quantitative imaging for cancer diagnostics, and quantum-driven resolution enhancement in acoustic microscopy. Grants from the Melanoma Research Alliance , National Institute of Biomedical Imaging & Bioengineering , and Stand Up To Cancer support his work on pancreatic cancer screening , interstitial lung diseases , and radiotherapy toxicity assessment .

Peter J. BasserView profile

Research Professor

• Quantitative Imaging
• Tissue Sciences
• Diffusion MRI
• +7 more

Peter J. Basser is a leading research scientist at the National Institutes of Health (NIH), specifically within the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), where he heads the Section on Quantitative Imaging and Tissue Sciences (SQITS). His work bridges physics, engineering, and neuroscience to develop non-invasive MRI methods for probing tissue microstructure, particularly in the brain. His educational background is not explicitly mentioned, but his scientific achievements reflect deep training in biophysics and medical imaging. He earned his Ph.D. and has built a career at NIH as a principal inventor of key neuroimaging technologies. Basser's research focuses on quantitative imaging and tissue sciences , especially using diffusion MRI to study brain structure and function. He pioneered Diffusion Tensor MRI (DTI) , Streamline Tractography , and advanced methods like MAP MRI , CHARMED , and AxCaliber , enabling in vivo measurement of axon diameters and microstructural features previously accessible only through histology. His work aims to translate these tools into clinical use for diagnosing developmental disorders, trauma, and neurodegeneration. The 15 most recent articles reflect a consistent focus on developing novel MRI biomarkers, particularly through diffusion and relaxometry methods. They explore water exchange, restriction, glymphatic clearance, latency connectomes, and cortical microstructure, demonstrating a trajectory toward in vivo MRI histology and precision imaging for pediatric and neurological applications. Scientific Awards: National Academy of Engineering (NAE), Inducted 2020 National Academy of Inventors (NAI) Fellow, 2024 Eduard Rhein Technology Award, 2021 ISMRM Gold Medal, 2008 ISMRM Lauterbur Lecturer, 2020 American Society of Neuroradiology Honorary Member, 2019 Victor M. Haughton Award, 2017 ISMRM Fellow, 2010 AIMBE Fellow Best Paper Award, Frontiers in Physics, 2023 Basser leads a dynamic research group that mentors postdoctoral fellows and trainees, many of whom have received prestigious awards. His lab has secured significant grants from the NIH BRAIN Initiative, NICHD, USUHS, and the Bill & Melinda Gates Foundation. The SQITS lab develops open-source software tools like TORTOISE , dmritool , and HI-SPEED , which are widely used in the neuroimaging community. The lab collaborates with institutions such as Uniformed Services University and participates in major initiatives like the Human Placenta Project and the Human Connectome Project. Basser’s vision is to transform clinical MRI scanners into quantitative scientific instruments for precision medicine and large-scale brain mapping. Labs and Teams: Section on Quantitative Imaging and Tissue Sciences (SQITS), NICHD, NIH Neuropathology-Neuroradiology Integration Core (with USUHS) Advanced Translational Neuroimaging Research & Development Core Diffusion – Data Processing Center (DPC)

• Photodynamic Therapy
• Nanotechnology
• Cancer Research
• +5 more

Dr. Michal Heger is a Researcher at Utrecht University's Faculty of Science, specifically within the Membrane Biochemistry & Biophysics department. He also holds the position of Professor of photonanomedicine at Jiaxing University Medical College in China and serves as Editor-in-chief of the Journal of Clinical and Translational Research. Additionally, he is Chief formulation officer at Nurish.Me in San Diego. Dr. Heger's research primarily focuses on the development of minimally invasive diagnostic and therapeutic modalities for treatment-resistant cancers, with special emphasis on bile duct cancer (extrahepatic cholangiocarcinoma, eCCA). His work follows three pillars: minimally invasive approaches, patient-friendly treatments, and affordable solutions. Photodynamic therapy (PDT) forms the core of his research program, where he investigates nanoscale carrier platforms for photosensitizer delivery, cancer cell responses to PDT, PDT-induced immune responses, and representative cell and animal models for cholangiocarcinoma. His publication record shows significant expertise in photodynamic therapy, with numerous articles spanning from 2012 to 2025. The research trends indicate a strong focus on nanotechnology applications in cancer therapy, particularly in developing targeted delivery systems for photosensitizers and combination therapies. His work bridges basic science with clinical applications, especially in difficult-to-treat cancers where conventional approaches have limited success. Dr. Heger collaborates extensively with various research groups, particularly in the areas of liquid biopsies and molecular profiling for cancer diagnostics and therapy monitoring. His work often involves interdisciplinary approaches combining pharmacology, nanotechnology, and molecular biology to address challenging clinical problems in oncology.

Yaser S. Abu-MostafaView profile

Professor

• Artificial Intelligence
• Machine Learning
• Medical Applications of AI
• +4 more

Yaser S. Abu-Mostafa is a Professor of Electrical Engineering and Computer Science at the California Institute of Technology (Caltech), with a distinguished career spanning over four decades. He earned his B.Sc. from Cairo University in 1979, an M.S.E.E. from Georgia Tech in 1981, and a Ph.D. from Caltech in 1983. Holding roles such as Garrett Research Fellow (1983), Assistant Professor (1983-89), Associate Professor (1989-94), and Professor since 1994, he has cemented his reputation as a pioneer in artificial intelligence and machine learning. Educational Background B.Sc., Cairo University (1979) M.S.E.E., Georgia Institute of Technology (1981) Ph.D., California Institute of Technology (1983) Abu-Mostafa’s research bridges AI/ML with medical diagnostics and computational finance. His projects include non-invasive blood pressure measurement via ultrasound, AI-based detection of congestive heart failure through video analysis, and early stroke prediction using clot-detection algorithms. These innovations leverage machine learning to address biological variability and real-world complexity. His recent publications focus on predictive modeling for epidemiology (2022, 2021), theoretical advancements in machine learning (2015, 2006, 2005), and foundational work in swarm robotics and financial mathematics (2004). Trends in his work emphasize robustness, adaptability, and interdisciplinary applications. Scientific Awards Clauser Prize (Caltech’s most original Ph.D. thesis) ASCIT Teaching Awards (1986, 1989, 1991) GSC Teaching Awards (1995, 2002) Richard P. Feynman Prize for Excellence in Teaching (1996) Abu-Mostafa Fellowship established by Hertz Foundation (2005) Abu-Mostafa has advised numerous students and led research teams at Caltech, while also serving on scientific advisory boards and consulting for industries. His Caltech MOOC on machine learning has garnered over 8 million views, and his textbook Learning from Data is an Amazon bestseller. He collaborates extensively, including a major project with UCSF on heart failure detection and partnerships in computational finance. His work on a Caltech patent for stroke prediction received a US patent in 2025, alongside other medical AI patents.

Taofic MounajjedView profile

Consultant Lecturer

• Liver Pathology
• Hepatic Adenomas
• Focal Nodular Hyperplasia
• +5 more

Taofic Mounajjed, M.D. is a Consultant Pathologist specializing in liver and gastrointestinal pathology at the Mayo Clinic in Rochester, Minnesota. He serves as Co-Director of the Molecular Anatomic Pathology Laboratory and Co-Section Head within the Department of Laboratory Medicine and Pathology. Dr. Mounajjed is actively involved in multiple professional committees focused on digital pathology and pathology informatics. MD from University of Damascus Medical School (2004) BS in Basic Medical Sciences from University of Damascus (1999) Residency in Anatomic and Clinical Pathology at University of Cincinnati (2009) Residency in Surgical & Medical Pathology at Mayo Clinic (2010) Fellowship in Surgical Pathology at Mayo Clinic (2010) Mayo Clinic Scholar in Gastrointestinal and Hepatic Pathology (2011) Dr. Mounajjed's research focuses on liver pathology with particular expertise in hepatic adenomas, focal nodular hyperplasia, and gastrointestinal pathology. His work spans diagnostic pathology, molecular characterization of liver diseases, and implementation of digital pathology technologies. He has made significant contributions to understanding the histopathological features of various liver conditions including Wilson disease, eosinophilic esophagitis, and alcohol-related liver disease. His recent publications demonstrate a strong focus on advanced imaging techniques for liver disease assessment, particularly magnetic resonance elastography for evaluating liver fibrosis and steatosis. There is also a notable emphasis on AI applications in pathology, particularly for quantitative histopathological analysis of gastrointestinal conditions. His work bridges traditional pathology with modern computational approaches and molecular diagnostics. Best graduation thesis for the year 1999 from University of Damascus Certified by American Board of Pathology in Anatomic Pathology (2010) Certified by American Board of Pathology in Clinical Informatics (2019) Dr. Mounajjed serves in leadership roles including Chair of the DLMP Digital Pathology Practice Subcommittee and member of multiple digital pathology committees. He co-directs the Molecular Anatomic Pathology Laboratory and participates in various disease-oriented groups focusing on gastrointestinal and hepatic conditions. His collaborative research involves extensive work with multidisciplinary teams across Mayo Clinic, including radiology, gastroenterology, and surgery departments.

Thomas C. RichView profile

Professor

• Cell Signaling
• cAMP Signaling
• Biomedical Imaging
• +5 more

Thomas C. Rich serves as Professor of Pharmacology and Director of the Bioimaging Core Facility at the University of South Alabama's Frederick P. Whiddon College of Medicine, where he leads innovative research in cellular signaling dynamics and advanced imaging technologies. His educational background includes: Baccalaureate with Honors in Engineering from Georgia Institute of Technology Masters in Aerospace Engineering from Georgia Institute of Technology Ph.D. in Biomedical Engineering from Vanderbilt University Dr. Rich's research focuses on cellular signaling specificity , particularly cAMP pathways and phosphodiesterase regulation . His laboratory pioneered single-cell cAMP sensors and excitation-scanning hyperspectral imaging (HSI) techniques enabling 100-fold signal-to-noise improvements over traditional FRET. Key contributions include mapping cAMP gradients in pulmonary endothelial cells and airway smooth muscle, revealing previously undetectable signaling microdomains through collaborations with Dr. Silas Leavesley and Dr. Michael Francis. Analysis of his 14 publications (2015-2024) shows consistent innovation in quantitative imaging and signal transduction , with increasing emphasis on multi-parametric measurement (cAMP, Ca2+, NO, cGMP) and real-time dynamic tracking . His work spans fundamental enzymology to clinical applications, particularly in respiratory physiology and endoscopic technology development. No scientific awards were mentioned in the provided documentation. While specific advisees and grant details are not documented, Dr. Rich's research program demonstrates extensive collaboration through co-authorship patterns and facility leadership. His Bioimaging Core Facility serves as a hub for interdisciplinary projects requiring advanced fluorescence measurement capabilities. Dr. Rich leads the Bioimaging Core Facility in a collaborative research ecosystem centered around hyperspectral imaging development. His team works closely with Dr. Leavesley on optical system engineering and Dr. Francis on dynamic region-of-interest algorithms, creating an integrated approach to overcome limitations in cellular signal measurement within the 'turbulent maelstrom of the cellular environment'.

Lars KüpferView profile

Professor

• Physiologically-Based Pharmacokinetic (PBPK) Modelling
• Systems Biology
• Pharmacology
• +3 more

Univ.Prof.Dr.rer.nat. Lars Küpfer is a Professor at the Institute for Systems Medicine with focus on Organinteraction at RWTH Aachen University Hospital. His research combines physiologically-based pharmacokinetic (PBPK) modelling at whole-body level with systems biology effect models at cellular/tissue scale, particularly studying the gut-liver-axis and quantitative systems pharmacology/toxicology. He has a strong background in chemical engineering (TH Karlsruhe, RWTH Aachen, Carnegie Mellon University) and computational systems biology from his PhD work at ETH Zurich on yeast metabolism. Since 2005 at Bayer AG and 2011 at RWTH Aachen, he has developed multiscale models for drug development applications. Current focus areas: PBPK modelling, systems biology of human/microbial metabolism, drug-induced toxicity prediction Recent article trends show specialization in liver/kidney pharmacokinetics, metabolic disease biomarkers, and cross-species drug translation Key collaborations include Bayer AG, PortaCellTec, EU-STANDS4PM consortium, and HeCaToS He actively mentors students and researchers like Ömer Faruk Bay, René, Ravi Jairam, and Ahenk Zeynep Sayin in systems medicine projects.

Franco BasileView profile

Professor

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Proteomics
• +5 more

Franco Basile is a Professor in the Department of Chemistry at the University of Wyoming, specializing in Analytical Chemistry and Bioanalytical Mass Spectrometry . His research focuses on developing rapid, non-enzymatic sample preparation techniques for proteomics and metabolomics of biological and environmental samples, including microorganisms, bees, plants, and coal deposits. Education: B.S. in Chemistry (University of Wisconsin-Eau Claire, 1985), Ph.D. in Analytical Chemistry (Purdue University, 1992) Research Interests include: Analytical Mass Spectrometry : Pioneering thermal/microwave digestion for on-tissue proteomics and imaging-MS Metabolomics and Lipidomics : Analyzing root exudates, invasive grasses, and insect cold tolerance Microbial Ecology : Investigating sterol synthesis in bacteria and soil metaproteomics Article Trends span from 2025 to 2012 , emphasizing MALDI- and ESI-MS applications in proteomics, metabolomics, and environmental analysis. Recent work includes non-intrusive laser techniques for protein denaturation monitoring and sterol gene studies in planctomycetes. Scientific Awards : NSF CAREER Award R&D 100 Award ACS Outstanding Professor Award Lindbergh Foundation Research Award Funding sources include NSF, NIH, USDA, and DTRA for projects on insect cryobiology , microbial methane production , and field-portable biodetection systems . The Biodetection and Mass Spectrometry Laboratory houses advanced instrumentation like Q-Exactive HF-X Orbitrap and MALDI-ToF/ToF-MS, supporting interdisciplinary collaborations across ecology, geology, and biomedical sciences.

Steven LeeView profile

Professor

• Biophysical Chemistry
• Single-Molecule Fluorescence Spectroscopy
• Super-Resolution Imaging
• +5 more

Professor Steven Lee is a leading figure in biophysical chemistry at the University of Cambridge , where he leads the TheLeeLab in the Yusuf Hamied Department of Chemistry . His research focuses on developing advanced single-molecule fluorescence and multidimensional super-resolution imaging techniques to probe fundamental biological processes at unprecedented spatial precision. Developed novel super-resolution microscopy approaches for 2D/3D visualization of T-cell membrane proteins and histone assembly in fission yeast nuclei Pioneer of 15-20nm resolution imaging strategies through fluorophore kinetics and image reconstruction algorithms Recipient of the 2017 Marlow Prize in Physical Chemistry , Lee's lab produces cutting-edge tools with applications in immunology , neurodegeneration , and cellular biophysics . His team maintains active collaborations with Prof Klenerman (FRS MedSci) and Prof Moerner (Nobel Chemistry 2014). Research Highlights : Molecular origins of immunity through T-cell membrane protein interactions 3D histone dynamics during DNA replication/repair Amyloid aggregate quantification for neurodegenerative disease diagnosis Volumetric imaging innovations via vLUME virtual reality platform

• Medical Physics
• Magnetic Resonance Imaging (MRI)
• Magnetic Resonance Spectroscopy (MRS)
• +4 more

Prof. Fritz Schick is a faculty member at the University of Tübingen , serving as the Deputy Head of the Division 'Pathophysiology of Prediabetes' at the Helmholtz Diabetes Center. He also holds a permanent professorship as Head of the Section on Experimental Radiology within the Department of Diagnostic and Interventional Radiology at Tuebingen University Hospital. His work focuses on developing non-invasive methods to characterize tissue composition and function in pre-diabetes and diabetes. M.D. (1989) and Physics (1990) graduate from University of Tübingen Research Interests : Schick's research spans quantitative MRI and MRS for applications in musculature, liver, adipose tissue, and bone marrow . His work bridges medical physics with metabolic disease analysis , emphasizing non-invasive diagnostics and cohort studies. Publication Trends : Recent articles highlight his expertise in MRI-based quantification of metabolic tissues, including studies on visceral adipose tissue distribution (German National Cohort), hepatokines in NAFLD, and deep learning for diabetes detection from whole-body MRI. Collaborations span radiology, endocrinology, and computational biology. Scientific Awards : Technologie-Transfer-Handwerk Professor Adalbert Seifriz-Preis (2003) Stipend of Siemens AG, Ernst-von-Siemens-Stipend (1992-1994) Dr.-Friedrich-Förster-Award, Department of Physics (1991) Affiliations : Active in the Helmholtz Diabetes Center and German Center for Diabetes Research , with leadership roles in experimental radiology and metabolic imaging.