School of Medicine
Showing 12,351-12,400 of 12,909 Results
-
Tony Wyss-Coray, PhD
D. H. Chen Professor II
On Partial Leave from 04/01/2024 To 06/28/2024Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
-
Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
-
Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
-
Feng Xie
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioFeng Xie is currently a postdoctoral scholar at Stanford University School of Medicine, and he recently graduated with a joint Ph.D. degree from Duke University and the National University of Singapore. He previously obtained his bachelor’s degree from Tsinghua University, Beijing, China, in 2017. His research focuses on developing novel informatics methodologies and applying them to various healthcare domains, including children’s health, critical care, and emergency medicine. He extensively utilized large-scale multimodal data including electronic health records (EHR), clinical notes, and medical signal data, to address critical healthcare challenges. In his Ph.D. and postdoctoral training, he developed multiple advanced methods and informatics tools, including AutoScore, MIMIC-IV-ED benchmark, and NeonatalBERT. Used by other researchers globally, some of them have been applied to a wide range of clinical applications including risk prediction and model benchmarking, resulting in dozens of publications by other users. Specifically, AutoScore software has been downloaded more than 10,000 times from the R CRAN platform. and the original paper has garnered over 70 official citations for about 2 years.
Over 5 years, he published 8 first-author research papers in high-impact journals in the field, with a total impact factor of over 60. His extensive collaborations with clinicians, engineers, and health service researchers also resulted in 12 co-author papers. -
James Xie
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. James Xie is a board certified pediatrician and pediatric anesthesiologist at Stanford University School of Medicine. His goal is to improve patient care with health information technologies. Currently he is a clinical informatics physician (CI-MD) and Epic physician builder at Stanford Children's Health.
Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty as a Clinical Assistant Professor. -
Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
-
Lulu Xing
Basic Life Res Scientist, Neurosurgery
Current Role at StanfordResearch Scientist
-
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.
-
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.
