School of Medicine
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Xianghao Zhan
Postdoc Res Affiliate, Med/BMIR
BioXianghao Zhan earned his Ph.D. in Bioengineering from Stanford University in 2024, with a minor in Biomedical Data Science. He also completed dual M.S. degrees in Bioengineering (2021) and Statistics (2023) at Stanford, and holds undergraduate degrees in Control Science and Engineering and in English Literature from Zhejiang University’s Chu Kochen Honors College, where he graduated summa cum laude in 2019.
His research centers on understanding and modeling brain injury and neurodegeneration through data-driven approaches grounded in biomechanics, medical imaging, and clinical evidence. Under the mentorship of Prof. David B. Camarillo and Prof. Olivier Gevaert, his doctoral work advanced the computational modeling of traumatic brain injury, including the development of more accurate brain strain estimators, interpretable kinematic-to-strain models, and the first large-animal biomechanics-to-pathology correlation study.
Beyond traumatic brain injury, his research portfolio spans clinical data analysis for neurodegenerative diseases such as ALS, pathology-informed modeling of blood-brain barrier disruption, survival prediction using patient-derived motor neurons, and imaging-informed diagnosis in cancer. He has also contributed to clinical text mining and sensor-based health monitoring in contexts such as COVID-19 prognosis, surface electromyography, and artificial olfaction.
Xianghao has published 22 peer-reviewed papers as first or co-first author in journals including NPJ Digital Medicine, IEEE JBHI, and IEEE T-BME, with four additional first-author submissions under review. He has served as a reviewer for over 10 scientific journals, including Annals of Biomedical Engineering and Journal of Neurotrauma, and presented his work in 14 international conferences. He has co-written five research grants, contributing to over $400,000 in funding for brain injury studies.
His contributions have been recognized with several competitive honors, including the Siebel Scholars Class of 2024, the IET William James Award, the IET Postgraduate Research Award, the Stanford Interdisciplinary Graduate Fellowship, and trainee awards from AMIA and the American Society for Neurotrauma.
Outside of research, he is an avid volleyball and tennis player, having led teams to 16 intramural championships at Stanford. He values collaboration, leadership, and the joy of teamwork—on and off the court. -
Mengrui Zhang
Senior Biostatistician, Med/Quantitative Sciences Unit
BioMengrui’s research focuses on leveraging advanced statistical and machine-learning techniques to extract meaningful insights from complex biological datasets. His research interests include bioinformatics, deep learning/machine learning, statistical testing, high-dimensional data, non-parametric modeling, time series analysis, and spatial statistics. Additionally, he is also interested in developing new methods, tools, and pipelines for various kinds of biological datasets, especially in single cell, RNA-Seq, metagenomics, and proteomics to support drug discovery and development.
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Sha Zhang
Research Administrator, Medicine - Med/Immunology & Rheumatology
Current Role at StanfordFinancial Analyst
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Hong Zheng
Research Engineer, Med/BMIR-ITI Institute
BioMy research focuses on understanding the multi-omic landscape (genomics, epigenomics, transcriptomics, etc.) and immune responses in human diseases (cancer, aging, and infectious diseases, etc.), and identifying robust gene signatures and targets for disease diagnostics, prognostics, and therapeutics.
