School of Medicine
Showing 1-8 of 8 Results
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Giovanni Marco Saladino
Postdoctoral Scholar, Radiology
BioI am a Postdoctoral Scholar in the Department of Radiology at Stanford University. I graduated in Engineering Physics with a BSc at Politecnico di Milano (Italy) and an MSc at KTH Royal Institute of Technology (Sweden). In 2024, I obtained my PhD in Biological and Biomedical Physics from the Department of Applied Physics at KTH Royal Institute of Technology.
My research interests lie at the intersection of molecular imaging, nanomedicine, and nanomaterials. Specifically, I focus on developing novel contrast agents and exploring advanced imaging techniques. During my PhD studies, I designed hybrid multimodal contrast agents for complementary imaging using X-ray fluorescence computed tomography, magnetic resonance imaging, and optical fluorescence imaging. I am currently involved in investigating theranostic applications of nanomaterials, which hold great promise for personalized medicine and targeted therapies. -
Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioShailja is an engineer and computational scientist interested in the modeling of the human brain to study neurological diseases and guide neurosurgeries. As a Wu Tsai Neuroscience Institute’s postdoctoral fellow with Prof. Jennifer A. McNab and Prof. Josef Parvizi, she investigates tractography-based neurosurgical targeting. She is interested in mapping the whole brain structural connectivity network from diffusion MRI to functional connectivity in the human brain. Shailja received her PhD in Electrical and Computer Engineering from the University of California, Santa Barbara and BS from Electrical Engineering Department, Indian Institute of Technology, Kharagpur. Her doctoral research is on Reeb graphs for modeling white matter fibers in the human brain, which was awarded the Winifred and Louis Lancaster Best PhD Dissertation at UC Santa Barbara.
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Zahra Shokri Varniab
Postdoctoral Scholar, Radiology
BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2021. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing brain tumors. She intends to utilize non-invasive imaging techniques to assess tumor microenvironment to understand their role in cancer, develop a method for determining tumor profiles, and also using brain MR Imaging to assess treatment response. She hopes cancer to be history.
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Shashi Singh
Postdoctoral Scholar, Radiology
BioDr. Shashi Bhushan Singh is a Postdoctoral Scholar in the Department of Radiology at Stanford University, where he has been contributing to Professor Heike E. Daldrup-Link’s laboratory since 2023. His research focuses on clinical and translational molecular imaging, with a particular emphasis on developing and applying artificial intelligence algorithms for the automated detection and monitoring of pediatric cancers, including lymphoma and sarcomas, using PET and MRI.
Dr. Singh is involved in projects encompassing AI-driven multimodal pediatric lymphoma detection, automation of the Deauville score, and prediction of post-chemotherapy responses in pediatric osteosarcoma. He also investigates the impact of iron-oxide nanoparticles on tumor-associated macrophages in osteosarcoma and Ewing sarcoma, using MRI.
Prior to joining Stanford, Dr. Singh worked as a physician in Nepal from 2019 to 2021, gaining extensive clinical experience across a wide range of disease conditions. He subsequently served as a research scholar at the Hospital of the University of Pennsylvania (2021–2023) under the mentorship of Professor Abass Alavi. During this time, he conducted PET/CT research using a variety of radiotracers in hematological malignancies, aging, musculoskeletal disorders, neurological and psychiatric conditions, as well as infectious, inflammatory, and cardiovascular diseases.
Outside of his professional work, Dr. Singh enjoys exploring local restaurants and beaches in the Bay Area, going for long drives, hiking, and playing sports, including volleyball, cricket, and soccer. -
Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis.
