My name is Jian Zhu (or Jerry, for easy pronunciation). I am currently a postdoctoral research fellow at Lieber Institute for Brain Development, Johns Hopkins Medical Campus, studying the effects of childhood environment (rural vs. urban) and its interaction with relevant genes on working memory network related to schizophrenia.

(Date: Spring, 2017)
My doctoral dissertation focused on how bupropion affects a task-related depressive EEG pattern in smokers, as part of a parent R01 study funded by National Institute on Drug Abuse. Study findings suggest that the employed EEG measure is a sensitive and effective predictor of the beneficial effects of bupropion. The discovery could help advance personalized and efficacious treatments for depressive disorders and smoking abstinence. This work has been published on Experimental and Clinical Psychopharmacology.
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Broadly speaking, I am interested in the study of cognitive (e.g., memory, habit, attention), emotional (reappraisal), psychophysiological (fMRI & EEG), genetic (single nucleotide polymorphisms, RNA sequencing) and environmental (stress, social support, outdoor activities) measures/biomarkers in the detection, progression and intervention of psychiatric disorders.

In terms of statistical and computational curiosity, I am interested in the application of deep/machine learning and complex network theory to behavioral and neuroimaging data analysis (canonical correlation, multi-voxel pattern analysis, network analysis).