DATA VIZ PROJECTS

I enjoy designing and creating data visuals - for clients, as challenge contributions (e.g. '#TidyTuesday), and in my spare time. These graphics here are generated with a code-first approach and almost all of them do not involve any manual post-processing steps. [To code repo]

PENGUINS LEARNING DASHBOARD

Built with R flexdashboard and Shiny, this interactive web dashboard facilitates learning about different species of Antarctica penguins. Also, a demonstration of dynamic data visualisation of an open dataset. [To web app]

MUSIC MATCH MAKER

I developed a song analyzer and recommendation tool, based on Random Forest and tested with multiple other ML algorithms, using personal Spotify listening histories and song feature data acquired from Kaggle. [Github]

MOTIVATED RISKY-TAKING

Can curiosity kill the cat? Using (generalised) mixed-effects modelling, structural equation modelling and Bayesian inference, this research project shows similar cognitive-neural mechanisms underlying the driving force of curisosity and extrinsic instrumental rewards for risk-taking (in a group of brain areas called the brain's reward networks). This work is published in the journal Nature Human Behaviour.

OCEAN PLASTIC BAG OBJECT CLASSIFIER

A simple image classifer that identifies plastic bags in the ocean, built with FastAI using transfer learning (from pre-trained neural networks). [To web app]

BRAIN ACTIVITIES PREDICT GAMBLE DECISIONS

This project applied multivariate pattern analysis (incorporating Support Vector Classification & Multiple Kernel Learning ML algorithms) to decode brain activity patterns and predict gambling decisions. [To the analysis]

NEUROHACKMAP

My first Hackathon collaboration - In 2019 summer I partook in a two-week Neurohackademy with the University of Washington, in Seattle, and contributed to a code project which generates interactve visuals on geospatial data related to participants' career movements. [LINK to the project]

BCoS & OCS COGNITIVE SCREEN BATTERIES

During my Masters and PhD study in Birmingham, I contributed to this line of large-scale clinical trials to develop and validate the assessment tools on post-stroke cognitive functions. [LINK to OCS-Cantonese project site]

[LINK to the main BCoS publication]