Profile

Yifei Li

Affiliation

Department of Human Science, Graduate School of Humanities, Tokyo Metropolitan University

Experience

Part-time Lecturer 

2024 – Present | Katsushikaku Ishikaifuzoku School of Nursing | Psychology

Research Assistance

2023 – Present | Teikyo University, Medical Physics Group
Check Here: Teikyo Medical Physics Group Homepage
Also as a memeber of MEXT Transformative Area (A) Data Descriptive Science, Application & Exploration Group
Check here: https://data-descriptive-science.org/a02_2/

  • Deep learning and data analysis for 3D point clouds
  • Development of high-dimensional data visualization tool
  • Application of topological data analysis on medical data

2020 – Present | Tokyo Metropolitan University

  • Wrote programs for psychonomic experiments using python and javascript
  • Designed online survey pages and gathered data for psychology experiments 
  • Drafted conference posters & presentations, and co-published articles
Teaching Assistance

2020 – Present | Tokyo Metropolitan University

  • Gathered and efficiently scrape data via online websites using Python and R
  • Helped and guided reshape and analyze data
  • Supervised teams in designing text analysis study with KHcoder

2023 – Present | Senshu University (remote)

  • Supported data processing practices 

2024 – 2025 | Showa women’s University 

  • Teach R-based software in data analysis 
  • Supervised team work in social researching 

Background

Education

2019 – Present | Ph.D. student, Department of Human Science, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo

2017 – 2019 | Department of Human Science, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo (M.A., 2019)

2011 – 2015 | Faculty of Materials Science and Engineering, Chongqing University, Chongqing (B.E., 2015)
Dissertation:  Mechanics analysis and fracture morphology observation of glass fiber reinforced composites under transient ultra-high pressure condition

Research Interests

Aggressive behavior, embodiment, and behavirol prime
Ideology, intergroup conflict, and interpersonal cognition 
Statistical learning, the useful field of vision and sense of agency
Topological data analysis and high-dimensional data visualization

Skills

Program coding

Github: https://github.com/VldmrSlvdr
Dev Notes (and so on): https://vldmrslvdr.github.io

  • Data & Statistics: R, Python, & SPSS
  • Machine learning framework: Tensor Flow, PyTorch, Mojo
  • Psychological experiment programming design: Inquisit, psychopy (python-based) & Lab.js (JavaScript-based)
  • Full stack webpage and web application development (beginner): Hexo, Vue.js, React
  • Document preparation: Latex, Markdown
Language 
  • Mandarin (native speaker)
  • Japanese (fluent)
  • English (proficient)
  • German (beginner)
  • Russian (beginner)
Remote communication

Zoom, Microsoft Teams, and Slack