School of Medicine
Showing 12,381-12,400 of 12,909 Results
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Lulu Xing
Basic Life Res Scientist, Neurosurgery
Current Role at StanfordResearch Scientist
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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. -
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 -
Justin Xu
Graduate, Medicine, Radiology
BioJustin is currently studying for a PhD in Biomedical Data Science at the University of Oxford. His research aims to leverage artificial intelligence (AI) and machine learning (ML) to decipher clinical data and enhance healthcare. Specifically, his current doctoral work focuses on developing, deploying, and evaluating AI/ML tools to help hospitals manage patient demand. Justin is co-advised by Professor David W. Eyre, Professor A. Sarah Walker, and Professor David A. Clifton.
In January 2024, Justin began his visit to Stanford University as a Canadian Fulbrighter. He joined the Centre for Artificial Intelligence in Medicine & Imaging (AIMI) to develop multimodal generative AI in radiology under Dr. Curtis P. Langlotz.
Prior to beginning his doctoral studies, Justin worked with Dr. Alistair E. W. Johnson at the Hospital for Sick Children in Canada. During this time, he worked with the MIMIC-IV dataset and deployed a clinical terminology annotation dashboard to support multi-site analyses of electronic health records with natural language processing. Additionally, he contributed to the task querying features of "EventStreamGPT", a pre-processing and modelling library designed for generative pre-trained transformers and medical record time series. Justin was trained as a biomedical engineer and holds a BASc in Engineering Science from the University of Toronto.
