I am currently a Ph.D. student under the supervision of Andy Chen @ CHENLab. My research interests focus on leveraging multimodal methods, including fMRI, social network analysis, and nonverbal behavior, combined with naturalistic paradigms to study the mechanisms behind interacting minds and emergent properties in human interactions.
Python (Scikit-learn, Pytorch, TensorFlow), MATLAB, JavaScript, Node.js, Java, C, C++
Nltools, Nilearn, BrainIAK, fMRIPrep
RSA, IS-RSA, SNA, ML/DL, ANOVA, GLM, HMM
Py-Feat, OpenFace, OpenPose
Meteor, SQL, BASH
Chen, P.-H. A., Chiu, T.-A. P., Hsiao, P.-Y. A., & Chou, F.-C. B. (In press). From experiences to preferences: Neural insights through a
Hsiao, P.-Y. A., Kim, M. J., Chou, F.-C. B., & Chen, P.-H. A. (2024). Intersubject representational similarity analysis uncovers the impact of state anxiety on brain activation patterns in the human extrastriate cortex. Brain Imaging and Behavior, 18(2), 1-9.
Chou, F.-C. B.,* Chen, Y.-C. C.,* et al. (Under revision). Facial insights: An exploration of similarity in spontaneous facial behaviors during pandemic lockdown. PsyArXiv.
Kuo, Y.-S. A.,* Chou, F.-C. B.,* et al. (Under review). Social isolation strengthens the association between intersubject similarity in fantasy and similarity in affective appraisal. PsyArXiv.