School of Medicine
Showing 51-60 of 89 Results
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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. -
Anjali Patni
Postdoctoral Scholar, Radiology
BioPostdoctoral Scholar in the Department of Radiology (SUMIT Lab), working on precision drug delivery and minimally invasive therapy. Ph.D. in Oral Health Sciences from the University of Washington, with a research background spanning stem cell-derived tissue engineering, biomineralization, and regenerative medicine.
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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. -
Edward Pimentel
Postdoctoral Scholar, Radiology
BioEdward Pimentel is a postdoctoral scholar in the lab of Prof. Tom Soh. After receiving his BS in Chemistry at BYU and pursuing the total synthesis of a natural product with anticancer activity in the lab of Dr. Merritt Andrus, Edward was the first graduate student in the lab of Dr. Jeffrey Martell, where his PhD work centered on using DNA nanostructures to accelerate catalytic reactions and building an ultrahigh-throughput DNA-encoded reaction screening platform. Now as a postdoctoral scholar, his research focuses on applying functional nucleic acids to solve problems in diagnostic and sensing for human health. In addition to his research, Edward is a passionate mentor and has been involved in mentoring programs at every stage of his career. He is now a coordinator for the SURPAS Someone Like Me Peer Mentoring program.
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Samantha Reyes
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioResearch Interests: Preclinical and clinical PET imaging, novel tracer validation in vivo, neuroinflammation, proteomics, theranostics and pharmacokinetic modeling
Samantha is an NIH T32 SMIS Postdoctoral Scholar who completed her PhD in Biomedical Physics in Dr. Michelle James' laboratory at Stanford, where her doctoral work focused on the development and translational validation of novel PET radiotracers for non-invasive imaging of neuroinflammation. She led the preclinical development and validation of two GPR84-targeted PET radiotracers for imaging innate immune activation in a murine model of multiple sclerosis, and also led the clinical data analysis for the first whole-body TSPO-PET/MRI study in female patients with ME/CFS. She is well-versed in preclinical and clinical PET quantitation, pharmacokinetic modeling, autoradiography, and cell-based assays. Her postdoctoral research applies her molecular imaging expertise to gynecological cancers, with a focus on using proteomics-driven biomarker discovery and novel theranostic radioligands to characterize the tumor microenvironment and improve response to therapy in women's cancer. -
Rabeya Tus Sadia
Postdoctoral Scholar, Radiology
BioI am currently working on multimodal and multitask foundation models for cancer detection and surgical video analysis. My research focuses on medical image and video segmentation, MRI and ultrasound analysis, foundation models, reinforcement learning, and AI agents. My broader research spans generative modeling, causal machine learning, multimodal learning, large language models, state-space models, spatial and single-cell omics, structured data analysis, and trustworthy artificial intelligence. My goal is to develop clinically meaningful, interpretable, fair, and reliable AI methods for real-world biomedical and healthcare applications.
