School of Medicine
Showing 41-60 of 101 Results
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Yongkai Liu
Postdoctoral Scholar, Radiology
BioDr. Yongkai Liu is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His interests lie in developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning.
Before joining Stanford, he earned a Ph.D. from UCLA, majoring in Physics and Biology in Medicine, under the supervision of Prof. Kyung Sung. This gave him a solid foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled "Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence," focused on the development of advanced deep learning and machine learning techniques specifically for MRI-based clinical applications. During his master's degree, he studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang. In addition, he served as a reviewing editor for Frontiers in Oncology and as a peer reviewer for several critical journals in medical imaging, such as IEEE Transactions on Medical Imaging (TMI), Medical Physics, IEEE Transactions on Radiation and Plasma Medical Sciences, and IEEE Transactions on Biomedical Engineering.
Dr. Liu is an emerging leader in neuroimaging, stroke, and AI, earning widespread recognition for his work. His being named a recipient of the 2024 David M. Yousem Research Fellow Award and a semi-finalist for the 2024 Cornelius G. Dyke Award from the American Society of Neuroradiology underscores his potential to make significant future contributions.(https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html) -
Ning Lu
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.
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Panpan MA
Postdoctoral Scholar, Radiology
BioTargeted drug delivery, Therapeutic Ultrasound, Tumor Biology, Cancer Research, Pharmaceutical, Nanomedicine, Clinical Research
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Rim Malek
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy work is focused on the development of small molecules radiotracers for cancer imaging, and small molecules and peptides theranostics for cancer detection, targeted radionuclide therapy, and monitoring of tumor response to therapy.
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Golnaz Moallem
Postdoctoral Scholar, Radiology
BioGolnaz Moallem is a postdoctoral research fellow at the Personalized Integrative Medicine Laboratory in the Department of Radiology at Stanford University. Her research interests include machine learning and computer vision applications in clinical data analysis, particularly the design and development of deep vision systems for medical image analysis including image classification and object detection. She completed her B.S. degree in electrical engineering from Isfahan University of Technology, and her M.S. and Ph.D. degrees in Electrical Engineering from Texas Tech University.
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Sanaz Nazari Farsani
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.
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Kerem Nernekli
Postdoctoral Scholar, Radiology
BioDr. Nernekli has a wide-ranging research background encompassing molecular imaging, surgical neuroanatomy, clinical outcome studies, and machine learning, focusing on medical image reconstruction and multimodal deep learning algorithms for classification and segmentation tasks. Currently, he is focused on investigating novel radiotracer and activatable Gd-based contrast agents to detect senescence in large animal models with PET/MRI. Furthermore, Dr. Nernekli is exploring the potential of ferumoxytol-MRI and two-photon microscopy to correlate theranostic nanoparticles in their natural environment in order to gain a deeper understanding of their interactions with tumor-associated microenvironments.
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Sharon S. Newman
Postdoc Res Affiliate, Rad/Canary Center at Stanford for Cancer Early Detection
Postdoctoral Scholar, RadiologyBioI am interested in increasing access to medical technologies, particularly in low-resource settings. I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based computation courses to linear dynamical systems to deep dives into chemistry of therapeutic drug development. I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings.
I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out! -
Sophie Ostmeier
Postdoctoral Scholar, Radiology
BioMy current research is in deep neural networks that learn from multimodal clinical data including images and clinical information. I would like to combine these primary computer vision algorithms with large language models/EHR encoding models in order to integrate them into the clinical workflow, potentially as a virtual assistant.
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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. -
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-based techniques for applications in point-of-care 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.
