Chuan Yap
Dean S Prize Fellow at The University of Manchester
Manchester, England, United Kingdom
Summary
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Senior🎓
Top SchoolChuan Yap is a research scientist and Dean’s Prize Fellow with 11 years’ experience developing scalable statistical and probabilistic machine-learning methods for large, diverse biobanks. He designs inclusive GWAS approaches that model genetic ancestry as a continuum, enabling more robust multi-ancestry discovery across datasets like UK Biobank, Our Future Health and All of Us. His background spans bioinformatics, microbiome and precision medicine, with hands-on experience managing terabytes of genotype, RNA-seq and metagenomics data and building Bayesian and NumPyro-based probabilistic models. He has translated methods into tools such as PANACEA and led cross-disciplinary collaborations with clinicians and experimental biologists to find genetic and molecular biomarkers for treatment response. Comfortable at the interface of statistics, computation and biology, he pairs PhD-level modelling expertise with production-minded software skills in Python and Java.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics/System Biology, Doctor of Philosophy - PhD Bioinformatics/System Biology at The University of ManchesterData Science, Data Science at The Data IncubatorMasters of Biological Sciences Biochemistry, Masters of Biological Sciences Biochemistry at The University of SheffieldData Science Intensive Data Science, Data Science Intensive Data Science at Springboard
English, Chinese, Malay
Github Skills (2)
metagenomics3
simulation3
Programming languages (1)
Github contributions (5)
chuanfuyap/Convenient-Modeller
Dec 2016 - May 2020
Contributions:110 commits, 133 pushes, 5 branches in 3 years 5 months
chuanfuyap/hla-analysis-py
Nov 2021 - Dec 2022
Contributions:54 commits, 47 pushes, 4 branches in 1 year 1 month
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