Yap Chuan Fu


About Me

I am half biologist, half programmer and half statistician, that makes me 1.5 scientist.. wait a minuteā€¦.

Formally I am a researcher at a university, but informally I am just someone who enjoys learning new things and solving problems. Being a researcher, I am given the opportunity to do both, where I have to study and/or solve a problem, and most of the time in order to do so, I am required to learn new things, either technical methods or the background knowledge necessary. I aspire to be someone that can solve (almost) any problem using computer and mathematics.

Below is my resume summary.

Research Experience

Statistical Genetics, 2023 - Present

Multi-ancestry genetics research with the aim developing method that would harness the information from all samples including their ancestral genetic structure. This would be a method that represent all ancestries including admixed individuals (individual with mixed ancestry genetics, e.g. someone with a parent of east asian descent and a parent european descent). Such method would improve the power of the statistical analyses as well as provide a better/equal representation of human genetics for genome-wide association studies.

Genetics and Genomics Research, 2021-2023

Statistical analysis on genetics and genomics data (transcriptomics and metabolomics so far) in context of Rheumatoid Arthritis treatment. Built a HLA analysis package written in python, hapy as part of my research on HLA genetics analysis.

Metagenomics Research, 2019-2021

Studied metagenomics of lung microbiome in context of asthma using mathematical, statistical and machine learning models. Various scripts for data processing and analysis was turned into a python package, motupy

Kinetic Modelling of Cell Metabolism, 2014-2018

This was my PhD project where I optimised ODE models of yeast cell metabolism using genetic algorithm; input data included flux and proteomics data. Convenient Modeller was developed as part of this work.


PhD, University of Manchester, 2014-2018

PhD in Bioinformatics, supervised by Dr Jean-Marc Schwartz and Prof Simon Hubbard

MBiolSci, University of Sheffield, 2010-2014

Integrated Masters in Biochemistry, with final year project focusing on dynamic model of macrophage infection by Staph aureus.


My list of publication in chronological order

1) Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in Saccharomyces cerevisiae

2) Respiratory eukaryotic virome expansion and bacteriophage deficiency characterize childhood asthma

3) A Proteomics study of Rheumatoid Arthritis patients on Etanercept identifies putative biomarkers associated with clinical outcome measures

4) HLA-DRB1 and HLA-DQA1 associated with immunogenicity to adalimumab therapy in patients with rheumatoid arthritis

5) Using polygenic risk scores to aid diagnosis of patients with early inflammatory arthritis: results from the Norfolk Arthritis Register