Kai Lim's Projects
My first published paper and R project. In this study I used co-twin design and latent growth modelling to investigate if birth weight is on the causal pathway to ADHD development.
Tools for curating biomedical training data for large-scale language modeling
Calculate the unemployment rate for women in different age group using UK Census 2021 data
10 Weeks, 20 Lessons, Data Science for All!
Demo Package
My personal generative art projects and creations
Code challenge for HSDTC Data Hackathon
This is a repo created to celebrate Dr Jessie Baldwin's birthday
A list of resources related to health data science, population health and clinical data science.
Notes for Introduction to Statistical Learning course
This is a repo created for a Software Carpentry (SWC) workshop at King's College London in May 2022.
KCL Carpentries main website
I use this repo to create a website for London Genetics Network and deploy it through Netlify.
The Ultimate FREE Machine Learning Study Plan
This is my final PhD project. I integrated Mendelian randomisation within twin modelling to study the aetiology of self-harm. The project is currently under review.
A repo for me to learn propensity score matching.
Learning how to develop software in a collaborate environment using Github Actions, PyCharm and Python.
This is a repo to store html document for an introductory session for high school students about statistics. Link: https://kai-lim.github.io/ScienceSeekersPsychologyBasicStats/
This is a project repo I forked from the sdghackathon. I produced a visualisation of the data based on the goals of the hackathon.
Shiny 101: Modular App Blueprint workshop ✨
My personal repo to practice TidyTuesday whenever possible
This is one of my PhD projects, where I employed twin modelling, a structural equation modelling approach to study the aetiology of self-harm and its genetic and environmental relationship with other mental health conditions.
This is one of my PhD data science projects. I used UK Biobank, a huge dataset with ~250K individuals in my research to study the aetiology of self-harm using genetic causal inference methods.