School of Medicine
Showing 1-25 of 25 Results
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Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
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Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
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Xiaohan Xing
Postdoctoral Scholar, Radiation Physics
BioXiaohan Xing is a Postdoctoral researcher at the Department of Radiation Oncology, Stanford University. Before joining Stanford, she worked as a Postdoctoral researcher at the City University of Hong Kong. She obtained her Ph.D. degree from The Chinese University of Hong Kong in 2021 and her B.S. degree from Shandong University in 2017.
Her research interests include medical image analysis, omics data analysis, and multi-modal based disease diagnosis. -
Bo Xiong
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsAI, LLMs, Knowledge Graphs, Biomedical Ontologies
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熊剑 (Jian Xiong)
Postdoctoral Scholar, Chemical Engineering
BioI thrive to understand the roles of lysosomes in physiological and pathological conditions. Lysosomes are both degradation compartment and metabolic controlling hub, and dysregulation of lysosomal functions are frequently implicated in a vast number of diseases including neurodegenerative diseases, however, the systematic knowledge of the molecular mechanism by which lysosomal contributes to these diseases is lacking. Ion channels are the primary mediators of neuronal activity, defects in neuronal ion channel activity are linked with many kinds of neurodegenerative diseases. Interestingly, besides typical ion channels that are involved in the neuronal activity, defects in lysosomal ion channels, such as TRPML1, CLN7 and CLC-7 are also implicated in neuropathy. My previous work as Ph.D student in University of Texas MD Anderson Cancer Center focused on regulation of lysosomal function by ion channels and metabolites. I discovered a mechanism of lysosomal Na+ channel regulate mTORC1 activation by regulating lysosomal amino acid accumulation. I also discovered role of glutamine in controlling lysosomal degradation capacity. In the meantime, I developed novel methods to isolate organelles. My ultimate research goal is to understand the key developmental pathways and how alterations in gene sequences and expression contribute to human disease, therefore, I am pursuing independent academic researcher as my career goal. Starting Feb 2022, I work with Dr. Monther Abu-Remaileh at Stanford University on role of lysosomes in neurodegenerative diseases. I use genetics, chemical biology and omics approaches to study lysosome function under various physiological and pathological conditions, especially age-associated neurodegenerative disorders, and monogenic neurodegenerative lysosome storage diseases. In Stanford, I aim to integrate ionic regulation, metabolomic regulation and functional proteomic regulation to systematically understand the biology of lysosome in physiological conditions and pathological conditions.
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Lei Xiong
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
1. Infer macrophage-tumor cells interaction using spatial multi-omics
2. Decipher the cis-regulatory code using a large language models
3. Predict enhancer-promoter interaction
4. Multi-omics integration
5. Build foundational model for single-cell genomics -
Weize Xu
Postdoctoral Scholar, Genetics
BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.
Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.
In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.
With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab.
