London / Cambridge Commutable

Payton Tung On Yau, PhD

Bilingual Computational Scientist & Open-Source Tool Builder. Medical PhD in GI Disease paired with a BSc in Computer Science. Specialising in production-grade multi-omics pipelines, optimal survival modeling, and predictive oncology diagnostics—bridging wet-lab reality with scalable dry-lab execution.

Dry Lab R / Python / NGS

Computational Genomics

Oncology & MOA: Integrated NanoString & RNA-Seq to validate drug MOA & signaling pathways.
GI & Epigenomics: Defined transcriptomic signatures for mucosal healing in IBD cohorts.
Long-Read Assembly: De novo Nanopore genome assembly & scalable metagenomic pipelines.
Predictive Modeling: Multi-threshold survival optimization (AIC/BIC) & TCGA cohort validation.
Nextflow Epigenomics ML Pipelines Docker

Scientific Leadership

Bench Science QC / Assays / Culture

Molecular & Wet Lab

Assay Development: Multiplex qPCR design & miRNA screening for CRC diagnostics.
Targeted Platforms: NanoString nCounter profiling & upstream sample QC.
Epigenetics & Oncology: Epigenetic profiling parameters & target validation assays.
Functional & Biofilms: Cell chemotaxis dynamics, culture isolation & biocidal profiling.
Commercial R&D Partnering
De Montfort University

Biofilm Dynamics & Commercial Wash Optimisation

Partnering with the DMU research team to assess microbiome profiles and bacterial kill rates in commercial laundering systems. Integrating computational and experimental data to optimise processes, reducing chemical use and costs while maintaining biocidal efficacy and hygiene standards.

Resource Platform

UK Crop Microbiome CryoBank

Managed systems architectures securing national database repositories for UKRI/BBSRC phytobiome isolates.

Access Base →

Core Paradigm

The Hybrid Bridge

"Data analysis is only as sound as the chemistry behind it. I directly link bench-side parameters with custom analytical execution pipelines."

Applied Biostatistics Book

Open Educational Resource

Author of "A Little Bit of Everything in Biostatistics". An applied open-access resource for health science students, featuring real-world Framingham Heart Study & Anorexia Clinical Trial datasets to eliminate coding anxiety.

PhD

By Published Works

Medicine (Biological Nature of Diseases)

BSc Computer Science • MBA Cand.

Publications

Peer-Reviewed Research Portfolio

Portfolio of 15+ peer-reviewed papers focusing on Genomic Surveillance, Mucosal Microbiomes, and Disease Pathology.

Google Scholar Profile ORCID: 0000-0002-6019-3837