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Hi there 👋

I am a data scientist at Roche.

Prior to this I did my PhD in statistical genetics at King's College London, analysing huge epidemiological datasets using genomic data science/causal inference methods, focusing on self-harm and its risk factors.

My passion lies in health data science and statistical genetics.

I use R, git, Linux/Unix, High Performance Computing (HPC), and am familiar with Python and SQL.

View my LinkedIn profile here and my Google Scholar profile here.

My recent projects

  1. Health Data Science Resources

I curate a list of resources related to health data science

Kai Lim's Projects

adhd_birthweight icon adhd_birthweight

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.

biomedical icon biomedical

Tools for curating biomedical training data for large-scale language modeling

itsl-notes icon itsl-notes

Notes for Introduction to Statistical Learning course

kai_zoo icon kai_zoo

This is a repo created for a Software Carpentry (SWC) workshop at King's College London in May 2022.

londongeneticsnetwork icon londongeneticsnetwork

I use this repo to create a website for London Genetics Network and deploy it through Netlify.

mr-doc-self-harm icon mr-doc-self-harm

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.

scienceseekerspsychologybasicstats icon scienceseekerspsychologybasicstats

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/

sdghackathon icon sdghackathon

This is a project repo I forked from the sdghackathon. I produced a visualisation of the data based on the goals of the hackathon.

tidytuesday icon tidytuesday

My personal repo to practice TidyTuesday whenever possible

twin_modelling icon twin_modelling

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.

ukb_selfharm icon ukb_selfharm

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.

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