Neuroimaging
& clinical AI
Developing multimodal models that bring together MRI, clinical data, and neurological disease diagnosis.
Explore publications
AI · Neuroscience · Rehabilitation
Understanding the brain.
Improving recovery.
Machine learning for biomedical data,
neuroimaging, and neurological recovery.
Peking University · Photography by Ping-Ju Lin
Discover more 
Ping-Ju Lin, Ph.D.About the researcher
At the intersection of
AI and brain health.
I'm Ping-Ju Lin, a Research Assistant Professor at Peking University. I develop machine-learning methods to better understand neurological disease and predict rehabilitation outcomes.
My research connects MRI, EEG, clinical measurements, and behavioral data, with a focus on Alzheimer's disease, stroke recovery, and brain-computer-interface supported rehabilitation.
Read my curriculum vitaeThe research
Signals. Models. Recovery.
Three connected areas of inquiry
Neuroimaging
Explainable
biomedical models
Designing interpretable learning frameworks that connect predictions to clinically meaningful signals.
Explore publicationsStroke recovery
& brain interfaces
Predicting rehabilitation response through EEG, behavioral measures, and corticomuscular coupling.
Explore publicationsThe work
Research in focus.
Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis
IEEE Transactions on Biomedical Engineering
A vision-language foundation model for Alzheimer's disease diagnosis using MRI and clinical data
Alzheimer's & Dementia
Design, Modeling, and Application of Bioinspired High-Force-Output Soft Pneumatic Bending Actuator
IEEE Transactions on Robotics
Multimodal behavioral data predict stroke patient's response to BCI treatment through explainable AI
IEEE Transactions on Neural Systems and Rehabilitation EngineeringBeta-band corticomuscular coherence: a novel biomarker of functional corticospinal tract integrity and motor recovery after stroke
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Development and validation of a collaborative framework for assessment of peripheral facial paralysis using facial image regions of interest
Acta Oto-Laryngologica
Bioinspired smart triboelectric soft pneumatic actuator-enabled hand rehabilitation robot
Advanced Materials
AM-EEGNet: An advanced multi-input deep learning framework for classifying stroke patient EEG task states
NeurocomputingExplainable deep-learning prediction for brain-computer interfaces supported lower extremity motor gains based on multistate fusion
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Motor-Respiratory Coupling Improves Endurance Performance during Rhythmic Isometric Handgrip Exercise
Medicine & Science in Sports & Exercise
Multiscale canonical coherence for functional corticomuscular coupling analysis
IEEE Journal of Biomedical and Health Informatics
Lesion-specific cortical activation following sensory stimulation in patients with subacute stroke
Journal of NeuroEngineering and RehabilitationA transferable deep learning prognosis model for predicting stroke patients' recovery in different rehabilitation trainings
IEEE Journal of Biomedical and Health InformaticsCNN-based prognosis of BCI rehabilitation using EEG from first session BCI training
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Quantitative assessment of motor function by an end-effector upper limb rehabilitation robot based on admittance control
Applied SciencesEducation & appointments
A pursuit across borders.
Beijing · Los Angeles · Boston
Peking University
Research Assistant Professor
University of Southern California
Postdoctoral Scholar
Tsinghua University
Ph.D.
During my Ph.D., I was a Visiting Scholar at Harvard Medical School and the Laboratory for Translational Neurorecovery at Massachusetts General Hospital in 2023.
Full academic historyCampus and hospital photography by Ping-Ju Lin.
A chapter in Boston · 2023
Bringing research
closer to recovery.
As a Visiting Scholar at Harvard Medical School and Massachusetts General Hospital, I worked with David Lin, MD, at the Laboratory for Translational Neurorecovery during my doctoral studies.
Contact
Let's connect.
For research inquiries and academic collaboration.
pjlin14@pku.edu.cn