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Research Informatics Training

 

Human Geneticist × Bioinformatician | PhD student at the Department of Clinical Neurosciences & MRC MBU | Taiwan Cambridge Scholar

Biography

  • University of Cambridge

    PhD Clinical Neurosciences

    2024 - 2028

    Project: 'Searching for novel genetic mechanisms underlying mitochondrial disease'
    - Awardee of the Taiwan Cambridge Scholarship (fully-funded PhD)
    - Extended development of a multiomic rare disease variant prioritisation toolbox
    - Diagnosis of unsolved mitochondrial disease cases and discovery of novel pathogenic mechanisms


  • University of Cambridge

    MPhil Medical Science (Clinical Neurosciences)

    2023 - 2024

    Project: 'In-depth screening for pathogenic variants in human mitochondrial disease'
    - Genetic diagnosis of unsolved mitochondrial disease cases by in-depth in silico analysis of WGS data
    - Developed and applied a rare disease variant prioritisation pipeline
    - Discovery of novel nuclear disease genes and mitochondrial disease-causing variants
    - Member of Neurology domain, Genomics England Research Network


  • The University of Manchester

    MSc Bioinformatics and Systems Biology

    2022 - 2023

    Project 1: ‘Functional characterisation of cherubism granulomas using single cell RNA-seq’
    - Analysis of scRNA-seq data from human cherubism granulomas
    - Usage of Seurat pipeline followed by downstream functional enrichment analyses, performed in R

    Project 2: ‘Capacity and limitations of computational RNA-seq analysis’
    - Analysis of multiple bulk RNA-seq datasets in R using DESeq2 pipeline with custom adjustments (e.g., GeneGini™)


  • Imperial College London

    MSc Human Molecular Genetics

    2020 - 2021

    Project: ‘Searching for pathogenic non-coding mutations in autosomal recessive mitochondrial disease’
    - Established in silico pipeline to identify candidate pathogenic non-coding variants in autosomal recessive mitochondrial disease using proband whole genome sequencing (WGS) data.
    - Member of Neurology domain as part of the Genomics England Clinical Interpretation Partnership (GeCIP) from the 100,000 Genomes Project


  • University of Cambridge

    BA (Hons) Preclinical Medical Sciences

    2016 - 2019

    Preclinical Medical Sciences (Year 1-3) & Biological and Biomedical Sciences (Year 3; intercalated)
    Intercalated year major subject: Genetics
    Intercalated year minor subject: Bioinformatics
    Dissertation: ‘Aneuploidy and Cancer: Lessons so far’
    (MA conferred May 2023)

Teaching and Supervisions

Teaching: 

 

2024/2025:

  • Core Statistics using R or Python - Trainer
  • Introduction to R - Trainer
Ji-Ming Yang

Contact Details

Email address: 
University of Cambridge
Department of Clinical Neurosciences
Box 157, level 5
Cambridge Biomedical Campus
Cambridge
CB2 0QQ