Education
2020，Heinrich-Heine-Universität Düsseldorf/Forschungszentrum Jülich，Psychology，Ph.D
2015，Xiamen University，School of Medicine, Physiology，M.Sc
Work Experience
2024-Pres.，GIFT，Shanghai Jiao Tong University，Associate professor
2022-2024，The Fourth Affiliated Hospital, School of Medicine, Zhejiang University，Adjunct Professorship
2021-2024，Department of Psychology, Zhejiang University，Assistant Professor
Research Fields
AI-Based Big Data Analysis of Schizophrenia, Insomnia, and Cognitive Impairment (Dementia)
Sleep Staging (Deep learning), Closed-Loop Brain-Machine Interface, Sleep Interventions
Brain Imaging (EEG/functional Near-Infrared spectroscopy/MRI)and Brain Stimulation
Predictive Processing Mechanisms in Interpersonal Interactions and Social Disorders
Honors and Awards
2024，Shanghai Rising-Star
2024，Chinese Association For Artificial Intelligence(CAAI) Social Computing Rsing-Star
2021，American Society of Biological Psychiatry Somerfeld-Ziskind Award Honorable Mention [finalist]
Professional Service
Associate Editor BMC Medicine
Fellow Social Computing and Social Intelligence Committee of the Chinese Association For Artificial Intelligence
Fellow Social Cognition Branch, Chinese Cognitive Science Association
Fellow Neuropsychiatric Imaging Branch, Chinese Cognitive Science Association
Selected Publications (10 selected in last 3 years)
Pan Y, Wen Y, Jin J, Chen J* (2023). The interpersonal computational psychiatry of social coordination in schizophrenia. The Lancet Psychiatry, 10:801-808 IF=64.3
Chen, Z., ... Chen J*, CP H. et al. (2023). Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry. BMC Medicine 21: 241 IF=9.3
Cheng B*, Chen J*, et al. (2023). Mapping the deficit dimension structure of the National Institutes of Health Stroke Scale. eBioMedicine, 87:104425 IF=11.1
Chen J*, Patil KR, Yeo BTT, Eickhoff SB. (2022). Leveraging machine learning for gaining neurobiological and nosological insights in psychiatric research. Biological Psychiatry, IF=10.6 （Commentary on this paper: Adkinson, B.D. and Chekroud, A.M., 2023. Broadening the Use of Machine Learning in Psychiatry. Biological Psychiatry, 93(1), pp.4-5.）
Geng H, Chen J*, Hu CP, Jin J, Li Y, Hu X, Zhang RY*, Lei Zhang. (2022). Promoting Computational Psychiatry in China. Nature Human Behavior IF=29.9
Chen J*, Mueller VI, Dukart J, …, Eickhoff SB*, Patil KR. (2021). Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture. Biological Psychiatry, 89: 308-319 IF=10.6
Chen J, Wensing T, Hoffstaedter F,..., Eickhoff SB, Nickl-Jockschat T*. (2021). Neurobiological substrates of the positive formal thought disorder in schizophrenia revealed by seed connectome-based predictive modeling. NeuroImage: Clinical, 30: 102666 IF=4.2
Chen J, Patil KR*, Weis S, …, Eickhoff SB and the PHAMOUS investigators. (2020). Neurobiological divergence of the positive and negative schizophrenia subtypes identified on a new factor-structure of psychopathology using non-negative factorization: An international machine-learning study. Biological Psychiatry, 87: 282-293 IF=10.6
Chen J*, Yan Y, Yuan F, Cao J, Li S, Eickhoff SB, Zhang J*. (2019）. Brain grey matter volume reduction and anxiety-like behavior in lipopolysaccharide-induced chronic pulmonary inflammation rats: A structural MRI study with histological validation. Brain, behavior, and immunity, 76: 182-197 IF=15.1
Course Taught (Recent 5 Years)
AI and Brain Health
