School of Medicine
Showing 1,421-1,430 of 1,596 Results
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Ruolun Wei
Postdoctoral Scholar, Neurosurgery
BioRuolun Wei, MD, PhD, is a postdoctoral scholar in the Department of Neurosurgery at Stanford University. Dr. Wei’s work centers on neuro-oncology, with particular emphasis on brain tumor recurrence, treatment resistance, and tumor metabolism. He is also a board-certified neurosurgeon, currently focusing on full-time research. His research aims to bridge the gap between clinical practice and laboratory investigation, conducting translational research that moves from bedside to bench and back to bedside to improve therapeutic outcomes for patients with malignant brain tumors.
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Alexis Thomas Weiner
Basic Life Research Scientist, Pathology Sponsored Projects
Current Research and Scholarly InterestsThe planar cell polarity (PCP) signaling pathway polarizes animal cells along an axis parallel to the tissue plane, and in so doing generates long-range organization that can span entire tissues. Although its core proteins and much about their interactions are known, how PCP signaling occurs at a mechanistic level remains fundamentally mysterious. In my current project I will employ novel genetic methods to dissect the logic underlying how cellular asymmetry arises at a molecular level.
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Alexandre Raphael Wery
Postdoctoral Scholar, Hematology
Current Research and Scholarly InterestsAML. Measurable residual disease. Circulating tumor DNA. CAPP-Seq.
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Philipp Wesp
Postdoctoral Scholar, Radiology
BioI am a postdoctoral researcher investigating interpretable machine learning (ML) and large language model (LLM) applications in clinical radiology. My current research focuses on two complementary areas: understanding what human-interpretable concepts self-supervised vision foundation models learn through mechanistic interpretability techniques like sparse autoencoders, and developing LLM-based systems, including agentic workflows and retrieval augmented generation (RAG) architectures, that leverage unstructured hospital data to improve radiological workflows. I earned my PhD from LMU Munich, where I focused on clinically motivated machine learning applications in medical imaging in the Department of Radiology.
My work is partially funded by a Walter Benjamin Fellowship from the DFG (German Research Foundation).
