School of Medicine
Showing 441-460 of 684 Results
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Marlen Pajcini
Clinical Assistant Professor, Radiology
BioDr. Pajcini received his undergraduate degree in Molecular and Cell Biology from U.C. Berkeley, graduating with Honors. He received his medical degree from Loma Linda University School of Medicine with Alpha Omega Alpha Honors. He completed Diagnostic Radiology residency at Santa Clara Valley Medical Center and a Breast Imaging fellowship at Stanford University School of Medicine. His clinical focus is on breast cancer screening, diagnosis, and treatment.
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John Christopher (J.C.) Panagides
Affiliate, Department Funds
Resident in RadiologyBioCurrent Integrated Interventional and Diagnostic Radiology (IR/DR) Resident at Stanford Medicine and recent graduate of Harvard Medical School (Class of 2023) with deep interests in emerging applications of interventional and diagnostic radiology, minimally invasive procedures, and biomedical engineering. Extensive experience in biomedical project design and clinical research in predictive analytics, radiology practice management, and population health outcomes.
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Jun Hyung Park
Research and Development Science and Engineer 1, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordI joined in Stanford Cyclotron and Radiochemistry Facility in 2014. I focus on routine radiopharmaceutical production, development, optimization for clinical use and supporting various of pre-clinical studies.
18F tracers; 18F-Flumazenil, 18F-FTC-146, 18F-FLT, 18F MISO, 18F AraG, 18F-FSPG etc.
11C tracers; 11C UCB-J, 11C-raclopride, 11C-PIB, 11C-methionine, 11C DPA-713, 11C MGX10, 11, 11C-CN radiochemistry platform development
15O tracers; 15O-H2O, 15O gas Inhalation study
68Ga tracers; 68Ga-DOTATATE, 68Ga-PSMA
Quality Controls; HPLC, GC, TCD GC etc. -
Ugur Parlatan
Basic Life Research Scientist, Rad/Canary Center at Stanford for Cancer Early Detection
BioDr. Ugur Parlatan is a Basic Life Research Scientist at the Canary Center at Stanford for Cancer Early Detection. Trained as a physicist, he leads photonics laboratory activities and develops optical spectroscopy and imaging approaches for molecular fingerprinting and characterization of extracellular vesicles (EVs). His work includes designing and optimizing measurement workflows, analyzing EV signatures from biomedical samples, and supporting disease-focused studies across cancer and metabolic conditions (including lung cancer, glioblastoma, pancreatic cancer, diabetes, and hepatotoxicity). He also mentors trainees (including NIH CREST program interns) and contributes to manuscripts and grant applications.
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Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders. -
Kim Butts Pauly
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsWe are investigating and developing, and applying focused ultrasound in neuromodulation, blood brain barrier opening, and ablation for both neuro and body applications.
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Suraj Pavagada
Postdoctoral Scholar, Radiology
BioSuraj Pavagada is a postdoctoral scholar at the Department of Radiology at Stanford University. His research focuses on exploiting magnetic levitation and optoelectronic techniques for applications in medical diagnostics.
Suraj received his PhD in Oncology from the University of Cambridge (24’), where he developed a new bioelectronic cell enrichment platform utilizing altered glycosylation patterns for the early detection of esophageal cancer. With a background in electrochemistry, surface functionalization, liquid biopsy, and molecular diagnostics, he is passionate about developing portable sensor technologies that can be translated into the clinic to facilitate timely diagnosis and monitoring. -
Norbert Pelc
Boston Scientific Applied Biomedical Engineering Professor and Professor of Radiology, Emeritus
Current Research and Scholarly InterestsBroadly, Dr. Pelc is interested in the physics, engineering and mathematics of medical imaging, especially computed tomography, digital x-ray imaging, magnetic resonance imaging, and hybrid multimodality systems. His current research is concentrated in the development of computed tomography systems with higher image quality and dose efficiency, in the characterization of system performance, and in the development and validation of new clinical applications.
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Sarvesh Periyasamy
Affiliate, Department Funds
Resident in Rad/Interventional RadiologyBioResident in the Integrated Interventional Radiology Residency. I completed my Internship in General Surgery at Stanford Health Care (2024).
I am a former MD-PhD student part of the Medical Scientist Training Program (MSTP) at the University of Wisconsin School of Medicine and Public Health. I earned my PhD in Biomedical Engineering in the Image-Guided Interventions Lab under Dr. Paul Laeseke MD, PhD. My thesis work investigated novel X-ray based image guidance techniques and device development for image-guided interventions.
I am interested in a career where I can integrate advances in physics and engineering research into a translational career as a physician-scientist. My research interests focus on the development and use of advanced imaging techniques to improve diagnosis and intervention of a variety of vascular and oncologic diseases.
