School of Medicine
Showing 981-990 of 1,580 Results
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Preethy Parthiban
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research centers on how the innate immune system shapes tissue remodeling in health and disease. During my PhD, I uncovered a key role for resident macrophages in driving cardiac fibrosis, identifying a macrophage-derived chemokine that directly activates cardiac fibroblasts. Building on this foundation, my postdoctoral work at Stanford focuses on neutrophil–macrophage crosstalk in disrupted alveolarization in neonatal mice and patients. By integrating cellular, molecular, and translational approaches, I aim to define how innate immune pathways orchestrate extracellular matrix remodeling. Ultimately, my goal is to identify critical therapeutic targets that improve outcomes in ECM-related diseases.
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Akshay Paruchuri
Postdoctoral Scholar, Psychiatry
AI4ALL Graduate Mentor, Stanford Pre-Collegiate StudiesBioI'm a postdoctoral scholar at Stanford University, advised by Professor Ehsan Adeli. I'm affiliated with the Stanford Translational AI (STAI) Lab and the Stanford Vision and Learning (SVL) Lab. I earned my PhD in computer science at UNC Chapel Hill under the advisement of Professor Henry Fuchs. I build and evaluate multimodal AI systems, from general-purpose methods for interactive computing to applications in healthcare. Currently, I'm working toward a future where multimodal AI can safely and reliably integrate into healthcare systems in order to improve the entire patient journey, from advanced diagnostic imaging and surgical support to all-day health monitoring and management, with the aim to achieve better therapeutic outcomes for cancer and aging-related diseases. I'm generally interested in opportunities that would allow me to continue to deepen my research expertise while leading and working on projects that benefit people everywhere, whether through foundational research, real-world products, or shaping how these systems are evaluated and deployed.
Previously, I was a visiting researcher at IDSIA USI-SUPSI working with Professor Piotr Didyk on the interpretability of multimodal language models (MLMs) with respect to capabilities such as visual perception. I've published in leading venues on topics such as remote health sensing (WACV, NeurIPS), 3D reconstruction (ECCV, MICCAI), LLM-based conversational agents for personal health (EMNLP, Nature Communications), and energy-efficient operation of smart glasses (ISMAR). I've done internships at Google AR/VR, Google Consumer Health Research, and Kitware. -
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. -
Debarun Patra
Postdoctoral Scholar, Cardiovascular Institute
BioDebarun Patra is a postdoctoral researcher at Stanford Medicine, with a background in inflammation research. His research focuses on metabolic disease modeling and identifying novel therapeutic targets. His current work integrates inflammatory and metabolic diseases (IBD, MASH, and diabetes), using patient-derived iPS cells and primary cells, and employs advanced multi-omics.
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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.
