Zeo Choy

Zeo Choy

PhD / Bioinformatician / AI & ML

Biography

Highly motivated individual with a deep interest in leveraging artificial intelligence for precision medicine. My focus lies in applying bioinformatics & AI/ML techniques to analyze biological problems and next-generation sequencing (NGS) data.

My skillset combines technical expertise with hands on wet lab experience. I’m proficient in common AI/ML frameworks and possess a strong understanding of NGS data processing pipelines, variant calling, and functional genomics analysis. Additionally, I have a solid foundation in molecular biology techniques, cell culture, and in vitro drug assays.

I’m driven by the transformative potential of AI in the realm of precision medicine. I believe the synergy of deep learning and NGS data holds the key to unlocking novel diseases diagnoses and treatment strategies.

Interests
  • Bioinformatics
  • AI/ML
  • NGS
  • Precision Medicine
  • Molecular Diagnostics
  • Cancer
  • Microbiome
Education
  • PhD in Medical Sciences, 2019

    The Chinese University of Hong Kong

  • MPhil in Medical Sciences, 2016

    The Chinese University of Hong Kong

  • BEng in Biomedical Engineering, 2014

    The Chinese University of Hong Kong

Skills

Dry
Bioinformatics

  • Data: WGS, WES, RNA-Seq, targeted resequencing, 16S/shotgun microbiome
  • Database: GEO, TCGA, PCAWG, COSMIC, dbSNP, gnomAD, ClinVar, OncoKB, CCLE, LINCS, SILVA, Greengenes etc.
  • Analysis: biological data mining, biomarkers discovery, molecular subtyping, survival analysis, differential abundance analysis, network inference etc.
  • Pipeline: GATK, DRAGEN, QIIME2/PICRUSt, kneadData/MetaPhlAn/HUMAnN
  • Experience in variant interpretation using ACGS, ACMG, AMP guidelines

Programming

  • Lanuages: Python, R, Shell, SQL
  • Frameworks: Django, Flask, Streamlit, HTML, Bootstrap, JavaScript, SQL, C++
  • Platform: Linux, Mac, Windows, AWS and GCP

Data Science

Data wrangling, model training, data visualisation, database managment

Wet
Molecular Techniques

NGS, PCR (PCR, qPCR, dPCR), cloning, immunostaining (IF/ICC/IHC), western blotting, flow cytometry

Diagnostics

Clinical Validation (CAP, ISO)

Cell Culture & Drug Testing

Cell lines, Organoids, Mouse Xenograft

Experience

 
 
 
 
 
CTO
April 2024 – Present Hong Kong
  • Develop technical aspects of the company’s strategy to ensure alignment with its business goals
  • Discover and implement new technologies that yield competitive advantage
  • Communicate technology strategy to partners and investors
 
 
 
 
 
MSc Thesis Project Suprevisor
HKU SPACE
January 2024 – June 2024
Supervise MSc in Biomedical Sciences student to complete bioinformatics based thesis research projects.
 
 
 
 
 
Senior Scientific Officer
BioMed Technology Holdings Limited
February 2022 – March 2024
  • In charge of the research logistics, coordination, timeline, manuscript preparation and bioinformatics analysis for microbiome research projects
  • Leaded the R&D team and interns to prepare scientifically driven materials to support sales & marketing activities
 
 
 
 
 
Scientific Officer (Cancer Genome)
Hong Kong Genome Institute
March 2021 – November 2021
  • Assisted the senior officers in planning and setting up a new molecular laboratory supporting population genome project
  • Prepared reporting guidelines and internal training materials for data interpretation and genome analysis
 
 
 
 
 
Research Scientist
InSilico Medicine
December 2020 – February 2021
 
 
 
 
 
Lecturer (Part Time)
HKU SPACE Po Leung Kuk Stanley Ho Community College
September 2019 – January 2023
 
 
 
 
 
Research Officer
Sanomics Limited
December 2018 – December 2020
  • Provided bioinformatics support (including QA/QC, data analysis, management, and interpretation) for clinical reporting of NGS data
  • Leaded and planned various cancer research projects ($10m funding)

Accomplish­ments

Yeung Sau Hang Memorial Scholarship
ESMO Congress 2018 Merit Award
Dean’s List
Founding Master Gold Medal for Graduating Students

Recent Publications

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(2024). A Novel Multi-Strain E3 Probiotic Formula Improved the Gastrointestinal Symptoms and Quality of Life in Chinese Psoriasis Patients. Microorganisms.

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(2023). A novel E3 probiotics formula restored gut dysbiosis and remodelled gut microbial network and microbiome dysbiosis index (MDI) in Southern Chinese Adult Psoriasis Patients. International Journal of Molecular Sciences.

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(2023). Characterization of the Gut Microbiome in Healthy Dogs and Dogs with Diabetes Mellitus. Animals.

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(2023). Improvements in Gut Microbiome Composition Predict the Clinical Efficacy of a Novel Synbiotics Formula in Children with Mild to Moderate Atopic Dermatitis. Microorganisms.

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(2023). Novel Multi-Strain E3 Probiotic Formulation Improved Mental Health Symptoms and Sleep Quality in Hong Kong Chinese. Nutrients.

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Projects

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Variant Viewer | Streamlit
Variant viewer dashboard to browse annotated variant calling result for ACMG variant classification
DeepSAC
Deep learning framework to predict response towards sequential application of anti-cancer drugs
DeepSAC
Gene Embedding
Using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
Gene Embedding
skinapp
Skin Lesion Detection Flask App Demo
skinapp
resim
A python package that simulates cancer chemoresistance dynamics based on a stochastic model.
resim