Boyin Feng

Boyin Feng

Graduate in Social Cognition & International Politics

Beijing Foreign Studies University

*** If you come from a non-traditional background or a smaller city like me, and want some advice on navigating the (fairly daunting!) grad school application process, feel free to reach out!

Boyin studies social psychology and political science. Her interdisciplinary research interests span intergroup relations, cultural/political psychology, political neuroscience, and affective science.

She is especially interested in exploring questions at the nexus of identity, ideology, emotion, and culture. Some of her current research inquiries include:

  • How do affective polarization and ideological polarization connect and interact?
  • How do group identities (in-group vs out-group) and cultural differences shape the experience, expression, and regulation of emotions?
  • How do cultural values and political ideologies influence social identities and intergroup dynamics like polarization, conflict, and discrimination?

Boyin received training in computational neuroscience from Neuromatch Academy 2022 and has independently written R codes for three projects (also organised sessions in Gorilla usage and statistical analyses in RStudio). She speaks Mandarin Chinese, English, and French fluently, as well as some Latin and ancient Greek.

Outside of research, she enjoys cooking, learning languages, wandering through the parks, and watching dog videos (especially of Golden Retrievers and Samoyeds).

Interests
  • Affective Science
  • Cultural & Political Psychology
  • Intergroup Relations
Education
  • MSc in Social Cognition, 2021-2022 (with Distinction)

    University College London

  • LLM in International Politics, 2020-2023

    Beijing Foreign Studies University

  • BA in French and LLB in International Relations, 2016-2020

    Beijing Foreign Studies University

Projects

Evaluating Reconstruction Accuracy in Neural Decoding Models
We compared 2 metrics of reconstruction accuracy, namely, RMSE (Root Mean Squared Error) and FSIM (Feature Similarity Index) against human judgement in two tasks of relating the reconstructed images to original images.
Evaluating Reconstruction Accuracy in Neural Decoding Models
Neural correlates of visual emotional word processing - An fMRI study
This study investigated the neural correlates of emotion-eliciting word processing using a visual lexical decision task (LDT). By comparing processing patterns between real/pseudowords and emotional/neutral words, the study aimed to partially dissociate semantic and affective components in emotional word processing.
Neural correlates of visual emotional word processing - An fMRI study
Anti-fan polarisation on Weibo
The study investigated the ecology of anti-fans on Chinese social media Weibo using text sentiment analysis based on 1303 posts from an “anti-fan leader”.
Anti-fan polarisation on Weibo

Contact