Curriculum Vitae
Full Name: Shijia Qing
TEL: +86 180-8190-7796
Address: 132 Waihuan East Road, Guangzhou, China
Email: qingshj@mail2.sysu.edu.cn; qingshijiark800@gmail.com
Download PDF:📃 Curriculum Vitae (PDF)
Education
2023–2026 | M.A. in Applied Psychology – Sun Yat-sen University, Guangdong
GPA: 90/100
Relevant courses: Special Topics on Human Factor (A+), Machine Learning and Its Applications in User Behaviour Analytics (A+), Special Topics on Social Psychology (A+), Advanced Statistical Methods in Psychology
2019–2023 | B.A. in Spanish Literature – Sun Yat-sen University, Guangdong
GPA: 87/100
Relevant courses: Advanced Mathematics (A+), English courses (all A/A+)
Research Interests
- Social cognition
- Perception and cognitive processing in the uncanny valley
- Human-computer interaction
- Perception and detection of AI-generated faces
Publications
- Qing, S., Cai, H., & Zhou, G. "Unraveling Group Attractiveness: Weighted Averaging and Recency Effects in RSVP Presentations." (Under review at Journal of Experimental Psychology: Human Perception and Performance)
- "The effects of cosmetic surgery labels on perceptions of facial attractiveness and naturalness: The role of mate selection and attitudes." (In preparation)
Conference Presentations
- Qing, S., Cai, H., & Zhou, G. (2024, March). "Recency Effect in the Ensemble Perception of Average Facial Attractiveness." Poster presented at the 2024 Annual Conference of the Division of General and Experimental Psychology, Chinese Psychological Society, Lanzhou, China.
- Qing, S.Lin, Y., & Zhou, G. (2025, June). "The Role of Social Familiarity and Self in the Uncanny Valley Effect: An Exploration of Multidimensional Mechanisms." Oral presentation at the 2025 Annual Conference of the Chinese Association of Social Psychology, Chengdu, China.
Research Projects
Explored emotional, cognitive, and social mechanisms behind the uncanny valley effect
Used machine learning to reveal how distributed neural activity across the mouse brain predicts behavioral choices before movement
Explored how the temporal order of face presentation influences the ensemble perception of average group facial attractiveness
Conceptualized a 3D virtual fitting room informed by user mental models, aiming to improve the online apparel shopping process and reduce return rates
Optimized ML models and analyzed feature importance for banking subscription prediction
Training
- Completed intensive training in computational neuroscience, focusing on neural data analysis and machine learning approaches
- Collaborated with international peers on hands-on coding projects using open neuroscience datasets
- Enhanced skills in Python and statistical modeling
Internship Experience
Seasun Games Co., Ltd. (Mecha Shooting Game)
- Conducted playtests, interviews, and surveys for player behavior and engagement.
- Evaluated game mechanics, art style, and monetization for optimization.
Netease Interactive Entertainment Co., Ltd. (Strategy Game)
- Designed usability tests to explore player motivations and pain points.
- Conducted competitive research and delivered product strategy insights.
Awards & Scholarships
- First Prize Scholarship (Top 5%) – Dec 2023
- Second Prize Scholarship (Top 10%) – Dec 2024
Academic Skills
- Quantitative Research: Scale development and validation, meta-analysis, regression (PLS, LASSO), model evaluation, hyperparameter tuning (Optuna)
- UX Research: User interviews, usability testing, A/B testing, survey design, focus groups, persona development
- Programming: R, Python, MATLAB
- Web Development: Front-end (HTML) and back-end (Django, Java) development; Linux server management and deployment
- Software & Tools: SPSS, LaTeX, Excel, Markdown
- Languages: Mandarin Chinese, English (IELTS 8.0), Spanish (elementary)
Teaching Experience
Sun Yat-sen University
Course: Experimental Psychology - Lab