Jing Jiang

Research Fellow

Training History:

2020-: Postdoctoral Fellow, Social and network neuroscience, Harvard Medical School & Brigham and Women’s hospital, USA

2017-2020: Postdoctoral Fellow, Cognitive and clinical neuroscience, Stanford University & VA Palo Alto, USA

2017: Postdoctoral Fellow, Developmental neuroscience (transition), Max Planck Institute for Human Cognitive and Brain Sciences, Germany

Education History:

2013- 2017: Ph.D., Psychology (with honors), Humboldt-Universität zu Berlin & Max Planck Institute for Human Cognitive and Brain Sciences, Germany

2010-2013: M.S., Psychology (with honors), Beijing Normal University, China

2006-2010: B.S., Psychology (with honors), Capital Normal University, China    

Personal Interests/Hobbies:
After work, Jing enjoys doing various kinds of sports with friends, such as playing badminton, table tennis, hiking, jogging, kayaking. She is also fond of dancing, yoga, music etc. She is good at cooking but does not like it very much.

Research Interests:
Jing’s long-term research interests focus on 1) better understanding the neurocognitive mechanisms supporting social cognition and emotional process in naturalistic social contexts; 2) identifying the altered mechanisms that contribute to communication and mood disorders; 3) applying the elucidated mechanisms to promote the mental health and treatment development in both healthy and clinical populations.

Aiming at these interests, Dr. Jiang explores several specific lines of groundwork during her academic training in labs of different countries (China, Germany, and US) by developing and utilizing a range of innovative, non-invasive, and ecologically valid methods. These methods combine cutting-edge multimodal neuroimaging techniques (e.g., fNIRS, fMRI), complex psychological and behavioral assessments (e.g., eye-tracking, video recording), non-invasive target neuromodulation (e.g., TMS), and computational neuroscience (e.g., network mapping).

Currently Dr. Jiang work as a postdoc in Michael D. Fox’s lab to understand the neural mechanism underlying social cognition using lesion-network mapping.