معرفی
Dr. Jingyu Liu is a Professor in the Department of Computer Science at Georgia State University (GSU), where she focuses on imaging genomics and the application of engineering advancements to biomedical research. She holds a PhD in Electrical and Computer Engineering from the University of New Mexico (2004), along with earlier degrees from Northern JiaoTong University. Prior to joining GSU in 2019, she conducted research at institutions such as the Mind Research Network and the Olin Neuropsychiatry Research Center. Her work bridges data science, neuroscience, and genetics, particularly in understanding brain anomalies linked to mental illnesses like schizophrenia, ADHD, and Alzheimer’s disease. Key research areas include multimodal machine learning, functional connectivity analysis, and the integration of genomic, epigenetic, and neuroimaging data.
Dr. Liu’s research emphasizes the development of computational methods to analyze large-scale neuroimaging datasets, such as functional MRI and EEG, alongside genetic and epigenetic markers. Her projects include predicting disease progression, identifying biomarkers for mental health conditions, and studying developmental trajectories in children. Collaborations with global consortia like ENIGMA highlight her focus on cross-continental and collaborative research. She has pioneered frameworks like DSAM and aNy-way ICA, advancing the field of brain network analysis.
Her work frequently explores the interplay between genetic factors and brain structure/function, aiming to improve diagnostic tools and treatments. Notable contributions include studies on the oral microbiome’s influence on brain connectivity in psychiatric disorders and the use of deep learning for mental health prediction. Dr. Liu’s methodologies, such as sparse parallel ICA and brain age modeling, demonstrate her expertise in both theoretical and applied computational neuroscience.
