V. Chau

Master of Science · Computer Science

Vinh Chau

Clinical Statistician & Data Scientist · Full-Stack AI Engineer

Bridging computer science, public health, and molecular epidemiology at the Oxford University Clinical Research Unit. Specializing in predictive ML models, edge computing for medical devices, and robust clinical data pipelines.

Curriculum Vitae Contact

I. Research Profile

Bridging computational theory with clinical data science to advance public health.

As a mathematician and computer scientist, I apply advanced computational methods and AI to complex health questions. My focus lies in developing predictive clinical models, constructing robust data pipelines, and implementing edge-computing architectures in resource-limited healthcare settings.

I am motivated to advance the intersection of computer science, public health, and epidemiology by building AI-assisted diagnostic tools and ensuring uncompromising data quality for clinical research.

9+

Publications

8+

Years at OUCRU

Academic Background

2017 – 2019

MSc in Computer Science

VNU – Ho Chi Minh City

Thesis: Feature selection methods for efficient Rotavirus diagnosis

2013 – 2017

BSc in Math & Comp Science

VNU – Ho Chi Minh City

Thesis: Deep learning approach for predicting protein binding sites

II. Professional Appointments

04/2025 – Present

Ho Chi Minh City, VN

Research Assistant

Emerging Infections – Innovation Team, Oxford University Clinical Research Unit (OUCRU)

  • ▪Develop and deploy real-time models for vital sign extraction from ICU Bedside Monitors.
  • ▪Fine-tune Transformer architectures to accurately extract data from Case Report Forms.
  • ▪Analyse and classify ECG data using advanced signal processing and time-series methods.
01/2022 – Present

Ho Chi Minh City, VN

Research Assistant

Molecular Epidemiology Group, Oxford University Clinical Research Unit (OUCRU)

  • ▪Architected data management plans for research databases, ensuring data integrity.
  • ▪Engineered automated workflows for data quality and accuracy validation.
  • ▪Collaborated on data analysis for scientific publications and grant proposals.
10/2017 – 12/2022

Ho Chi Minh City, VN

Data Coordinator

Enteric Infection Group, Oxford University Clinical Research Unit (OUCRU)

  • ▪Led clinical research projects, managing data pipelines, quality control, and analysis.
  • ▪Automated data validation and monitoring to uphold research integrity and compliance.

III. Technical Competencies

Development

Expert: Python, R

Proficient: C/C++, Flutter, Java, Kotlin, Django

Data & Machine Learning

Transformer Models, Signal Processing, Time-Series

Orange, SPSS, Power BI, Looker Studio, Shiny

Databases

PostgreSQL, MySQL, SQL Server

Microsoft Access, Automated Data Workflows

Cloud & Infrastructure

Amazon Web Services (AWS)

Google Cloud Platform, Microsoft Azure

IV. Selected Software & Research Systems

Real-time Medical Device Data Acquisition

Principal Investigator  ·  11/2025 – Present
Funded · $26,295

Edge-computing application capturing high-frequency data in real-time natively from ICU medical device display screens. Operates exclusively on-site to guarantee data privacy, compliance, and interoperability with existing EHR and research database frameworks.

Edge AI Vital Signs Extraction Transformer Models EHR Interoperability

ResSync – Research Data Management Platform

Lead Developer  ·  01/2025 – Present
Repository

A secure, centralised Django platform engineered to streamline academic research workflows from collection to analysis. Features automated data pipelines and a real-time interactive dashboard for clinical insight visualisation. Implements robust user authentication and data encryption.

Django Python Data Pipelines Real-time Dashboards

AMRalyze Dashboard

Lead Developer  ·  01/2024 – Present
Repository

An interactive R/Shiny application for end-to-end analysis of Antimicrobial Resistance (AMR) data. Handles both wide and long format data (CSV/XLSX), interprets results against CLSI/EUCAST clinical guidelines, and calculates MDR status with a flexible data ingestion module.

R / Shiny Clinical Statistics CLSI / EUCAST AMR Data

V. Publications & Funding

Selected Journal Articles

  1. Anh, P.H., Vinh, C., Lan, N.P.H. et al. (2026). Secondary infection in severe COVID-19 patients: clinical and microbial patterns at a tertiary hospital in Vietnam. BMC Infect Dis 26, 227. doi:10.1186/s12879-025-12479-w
  2. Chau, V., Le Dinh Van, K., Huynh Ngoc, H., et al. (2025). A Hierarchical Computer Vision Pipeline for Physiological Data Extraction from Bedside Monitors. arXiv preprint. arXiv:2511.23355
  3. Dung, T. T. N., Vinh, C., Anh, P. H., et al. (2025). The bacterial etiology and antimicrobial susceptibility of lower respiratory tract infections in Vietnam. Annals of Clinical Microbiology and Antimicrobials, 24(1), 50. doi:10.1186/s12941-025-00818-3
  4. Nguyen, H. T. T., Chau, V., Nguyen, P. H. L., et al. (2024). Changing epidemiology and antimicrobial susceptibility of bloodstream infections at a Vietnamese infectious diseases hospital (2010–2020). Npj Antimicrobials and Resistance, 2(1), 32. doi:10.1038/s44259-024-00049-0
  5. Chau, V., Thi Ngoc, D. T., My, P. T., et al. (2023). Feature Selection Methods for Effective Diagnosis of Rotavirus Infection: A Comparative Evaluation. 2023 15th International Conference on Knowledge and Systems Engineering (KSE), 1–6. doi:10.1109/KSE59128.2023.10299472

Research Funding & Honours

2025

OUCRU Programme Scientific Committee Research Funding

Principal Investigator · Real-time medical device data acquisition

$26,295
2021

OUCRU PE Seed Award

Principal Investigator · Interactive board game for clinical research education

$5,500
2019

IoT Startup 2019 – First Place

Co-Founder · OmniGo Ecosystem · Saigon Hi-tech Park

$70,000

Certifications

🟡 Google Advanced Data Analytics – Coursera, 2024

🟡 Google Data Analytics – Coursera, 2023

🟡 Epidemiology for Public Health – Imperial College London, 2023

🟡 Medical Statistics – Stanford Online, 2021