Haoran Shi

Computational Political Psychologist

London, England, United Kingdom

About

Project management As an experienced team supervisor, I have successfully led teams of 2 to 10 individuals for academic and for-profit projects. I have been responsible for setting deadlines, managing workloads, and organizing meetings using efficient communication tools such as MatterMost, SharePoint, and Zoom. My strong project supervision and management skills have ensured timely and successful delivery of project outcomes, such as by winning the best paper as the supervisor of the group in LSE GROUP 2023. Experimental Design As an experienced researcher and experimental designer, I have conducted multiple randomized controlled trials (RCTs) using a variety of research tools, including Gorilla, Qualtrics (JavaScript), and PsychToolKit. I have also recruited participants through various channels, including in-person and online using platforms like Prolific and university participant pools. Throughout the entire experimental process, I have been dedicated to ensuring accuracy and reliability in the results obtained, including the management of experimental design, implementation, and data analysis. As a result, I have developed a deep understanding of experimental methodology and statistical analysis, and have the ability to effectively communicate the results to academic and lay audiences. Statistical Analysis & Programming I have expertise in conducting advanced regression analysis (e.g., LASSO logistic), instrumental variable design and discontinuity design, and mediation or moderation analysis. I am also well-versed in mainstream statistical software such as SPSS and STATA, and training machine learning algorithms such as Extreme Gradient Boosting and Perceptron using Python。 Oral Communication Having attended and presented my own research in several revenues facing both lay audiences to field experts, I possess strong oral communication skills. Using tools such as PowerPoint slides and posters, I have been able to clearly articulate complex information in a way that is easy to understand for diverse audiences. With my understanding the popular culture, I have also been able to effectively engage and entertain my audiences while ensuring a thorough deliverance of my research topic (e.g., LSE Science Slam 2023).

Experience

  • GTA of LSE PB204 Social Psychology & PB413 Experimental Design and Method for Behavioural Science at The London School of Economics and Political Science (LSE)
    Sep 2023 - Present · 2 yrs 11 mos

    • Covered the following topics: Social Cognition, Social Identity and Emotion in Politics, Social Influence and Prejudice, Randomization and Priming in Experimental Design, Mediation and Moderation analysis. • Student Satisfaction: 4.6/5, with most commenting: “classes are structured and well designed”, “friendly, interactive, good at explaining”.

  • 1-to-1 Tutor at 万能班长Classbro
    Apr 2022 - Mar 2024 · 2 yrs

    • Weekly session for international undergraduate on extracurricular methodology and social-cognitive psychology courses • Specific content taught: o (1) Experimental method: within & between-subject design for RCT; longitudinal vs. cross-sectional studies; matching; ex-post facto; internal vs. external validity; ethics with experimental design o (2) Statistical inference: parametric vs. non-parametric test; simple t-test; ANOVA; simple linear regression o (3) Sampling method: probabilistic vs. non-probabilistic sampling; sample size calculation for statistical power

  • GTA of LSE MY451 Intro to Quantitative Analysis at The London School of Economics and Political Science (LSE)
    Jan 2023 - Jun 2023 · 6 mos

    • Covered the following topics: Descriptive statistics, chi-square test, one/two-sample t-test, correlation and inference with linear regression, and interpretation of box/bar-plots and histograms using R. • Student Satisfaction: 4.3/5 • Facilitated 4 weekly seminars with a total of 46 students, covering introductory inferential statistics using R for students with no prior experience.

  • Gamification Project Research at Overcome
    Jul 2021 - Oct 2022 · 1 yr 4 mos

    Research title (Literature review): “Composition of addictive machinic in building mobile and remote mental health interventions” Achievement: (1) Leading supervision on summarising the taxonomy of addictive machinic in games and gambling devices; (2) Drafted guidelines for building addictive machinic into habit-forming interventions; (3) Ensured every section of the review were delivered and reviewed before the set deadline.

  • Postgraduate Student Research Assistant at Dr Stuart Mills
    Oct 2021 - Dec 2021 · 3 mos

    Research Scope: A systematic literature review on Dark Pattern literature