Research Projects During Undergrad (2021 - 2022)
2021: Meta-Analytic Database for Big-Five Personality Outcomes
At the Cambridge Persoanlity & Social Dynamics Research Group, I initially worked on a large scale database of personality-outcome correlations, for which I actively improved data quality and developed a more efficient database structure.
I created statistical summaries and visualisation of the database when presenting to the group's principle investigator, Professor Jason Rentfrow.
I was also invited to contribute to the group's anonymous peer-review tasks given by a number of leading academic journals.
2021: Network Assessment for Organisations
During winter 2021/2, I took up a post working with Professor Vecchi of the Cambridge Judge Business School to develop an internal social network assessment tool.
I took on this opportunity to further my personal research interest in Social Network Analysis.
The CJBS Network Assessment Tool was proposed to provide network analyses to professionals and organisations to help increase psychological wellbeing, productivity, and resource efficiencies.
2022: Vaccine Hesitancy in Twitter Social Networks
Invited by the Cambridge Social Decision-Making Lab, I 2nd-authored the paper "Social Media Behaviour is Associated with Vaccine Hesitancy", publised by PNAS Nexus.
In this paper, I contributed to the online social network visualisation and analyses that revealed political and opinion polarisation in the US and the UK.
Main takeaway is that the US is clearly structurally polarised along politics, while it is not so clear in the UK.
You can read it here.
2022: The Power of Courageous National Culture
We performed 20,000+ OLS predictive models on a large international dataset collected in collaboration with the TIME Magazine.
Main finding was that Courage can be used to distinctly measure national culture, and that a more courageous national culture has meaningful national outcomes such as innovation and terrorism.
The manuscript was presented at the 2022 Regional Cultural Differences Conference. Link coming soon.
2022: Adaptive Algorithm for Smart Experiments
My summer internship at the MRC Biostatistics Unit resulted in an algorithm for Smart Experiments:
Smarter A/B Tests that avoid churn from bad experiences, or adaptive clinical trials that save lives from potentially worse treatments.
What's cool about this algorithm is that it is only 10 lines of python code and can test multiple things at once.