Stanford University
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Meysam Dadgar
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMeysam Dadgar is a Postdoctoral Research Fellow at the Molecular Imaging Program at Stanford University, School of Medicine. He obtained his Ph.D. in Biophysics from Jagiellonian University in Kraków, Poland, as part of the J-PET collaboration, and previously held a Postdoctoral Fellowship at Ghent University, Belgium.
Dr. Dadgar’s research focuses on the development and optimization of next-generation positron emission tomography (PET) systems for cancer detection and precision medicine. His expertise spans PET instrumentation, Monte Carlo and GATE simulations, advanced image reconstruction, and AI-based image enhancement. He has made significant contributions to the design and evaluation of novel PET geometries, including dual-panel and total-body PET, as well as positronium imaging approaches that extend beyond conventional PET capabilities.
In addition to his PET-focused research, Dr. Dadgar gained unique experience at CERN, where he worked on advanced detector development, including trigger electronics, PET coincidence measurements, and composite material production under controlled conditions. These experiences provided him with a strong foundation in detector design, fabrication, and calibration that complements his biomedical imaging research.
He has authored more than 20 peer-reviewed publications, including papers in Science Advances, Nature Communications, IEEE Transactions on Radiation and Plasma Medical Sciences, and EJNMMI Physics. He has been recognized with multiple international fellowships and awards, including IEEE NSS/MIC Trainee Grants and national research grants in Europe.
At Stanford, Dr. Dadgar’s work integrates state-of-the-art medical imaging technologies, particle physics methods, and AI-driven modeling to improve sensitivity, resolution, and diagnostic accuracy in PET, with the ultimate goal of advancing early cancer detection and patient care. -
Quinn Daedal
Academic Technology Specialist in Literatures, Cultures, and Languages, Center for Interdisciplinary Digital Research
BioQuinn Daedal (they/them) is the Academic Technology Specialist in the Division of Literatures, Cultures, and Languages, and in the Library, at Stanford University. Prior to coming to Stanford in 2018, Quinn’s many DH adventures included supporting the high-performance computing cluster at UC Berkeley, running the DiRT tool directory with support from the Mellon Foundation, writing books on Drupal for Humanists and University of Chicago library graffiti, and working on the program staff of Project Bamboo, a failed digital humanities cyberinfrastructure initiative.
Quinn has a BA/MA in Slavic Linguistics from the University of Chicago, and an MLIS from the University of Illinois at Urbana-Champaign. Since coming to Stanford, Quinn has supported numerous non-English DH projects, taught courses on non-English DH, started a Textile Makerspace and YarnLab, developed a tabletop roleplaying game to teach DH project management, and started the Data-Sitters Club, a feminist DH pedagogy and research group focused on Ann M. Martin’s 90’s girls series “The Baby-Sitters Club”. Quinn has served as co-President of the Association for Computers and the Humanities (the US scholarly association for digital humanities) and its representative to ADHO, and advocates for better support for DH in languages other than English.
