EDUCATION

• B.S. in Clinical Laboratory Science, Wuhan University, 2012
• Ph.D in Cognitive Neuroscience, Institute of Psychology, Chinese Academy of Sciences, 2018

RESEARCH & WORK EXPERIENCE

• 2021-present Postdoctoral Research Scholar, Department of Psychological & Brain Sciences, University of Iowa (Advisor: Jiefeng Jiang)
• 2021 Visiting Scholar, Haiyan Wu’s lab, University of Macau
• 2018–2021 Postdoctoral Research Associate, Institute of Psychology, Chinese Academy of Sciences (Advisor: Xun Liu)
• 2016–2017 Visiting student, Center for Molecular and Behavioral Neuroscience, Rutgers University (Advisor: Michael W. Cole)
• 2013–2018 Ph.D. in Cognitive Neuroscience, Institute of Psychology, Chinese Academy of Sciences (Advisor: Xun Liu)
• 2007–2012 B.Med in Clinical Laboratory Science, Wuhan University (Advisor: Mingxia Yu)

HONORS & AWARDS

• 2024 Trainee Professional Development Award, SfN 2024
• 2024 FY25 Travel Award, University of Iowa
• 2022 UIPDA Travel Award, University of Iowa
• 2020 Annual Representative Research Achievements for CAS Key Laboratory of Behavioral Science, Institute of Psychology
• 2017-2018 Merit Student, Pacemaker to Merit Student
• 2016 “Outstanding Research Paper Award” at the 2015 Annual Conference of Institute of Psychology, Chinese Academy of Sciences
• 2014 “Outstanding Paper”, Postgraduate group, in The 17th National Psychology Academic Conference
• 2012 Outstanding Graduates of Wuhan University
• 2008-2010 National Scholarship, National Encouragement scholarship, the First Prize Scholarship, Merit Student

RESEARCH GRANTS

• 2019-2021 The China Postdoctoral Science Foundation (2019M650884) PI; Total direct costs: ¥50,000
• 2019-2021 Funding for post-doctoral research activities in Beijing (ZZ2019-25) PI; Total direct costs: ¥60,000
• 2019-2021 The Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences (Y9CX172005) PI; Total direct costs: ¥100,000
• 2016-2019 Sino-German international collaborative project (61621136008/DFG TRR-169 B4/A5) Major participant; Total direct costs: ¥1200,000

INVITED TALKS

• 2024 Cost-benefit Tradeoff Mediates the Rule- to Memory-based Transition during Practice. University of Nevada, Reno.
• 2024 Domain- Generality/Specificity of Cognitive Control in Conflict Resolution. Nanjing Normal University.
• 2022 Conflicts are represented in a cognitive space to reconcile domain-general and domain-specific cognitive control. Brain and Cognitive Science Center Forum, Guangzhou University.
• 2019 The influence of conflict similarity on conflict adaptation effect. 2019 Annual Conference of General Psychology and Experimental Psychology Committee of Chinese Psychological Society.

REVIEWING SERVICE

Human Brain Mapping; Communications Psychology; Attention, Perception, & Psychophysics; Neurobiology of Learning and Memory; CNS Neuroscience & Therapeutics; Frontiers in Psychiatry; Frontiers in Computational Neuroscience; Frontiers in Cognition; BMC Psychology; Scientific Reports; Journal of Magnetic Resonance Imaging; Journal of Psychiatric Research; Advances in Psychological Science (Chinese); UIPDA travel award, University of Iowa; Cognitive Computational Neuroscience 2024 (conference).

MENTORING EXPERIENCE

• 2014 - 2019 Syeda Raiha Project: Reward Processing and Cognitive Control Mechanisms among Tobacco Smoking Addicts versus Internet Gaming Addicts University of Chinese Academy of Sciences
• 2015 - 2020 Zhenghan Li Project: The Regulation Mechanisms of Cognitive Control during Multisensory Conflict Processing University of Chinese Academy of Sciences
• 2016 - 2023 Honghui Xu Project: The Generality/specificity of Cognitive Control in Cross-conflict and Within-conflict Processing University of Chinese Academy of Sciences

TEACHING

• fMRI basics and data analyses.

SKILLS

• Experimental design:
  • E-prime, OpenSesame (Python),Psychtoolbox (MATLAB), JsPsych (JavaScript)
  • Data collection: Brain Product (EEG), GE (3T/7T MRI)
• Data analysis:
  • Behavior: Excel, R, MATLAB, Python
  • fMRI: SPM, FSL, AFNI, fMRIprep, HCP workbench
  • EEG: EEGLAB
  • Computational modeling: MATLAB, R
  • Neuroimaging Meta-analysis: GingerALE, Seed-based d Mapping, metafor (R)
  • Machine learning: SVM, representational similarity analysis (RSA)