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About

I am a bioinformatician specialising in genomic technologies, real-time nanopore sequencing, signal analysis, machine learning, and associated hardware. I have a background in software development and more than a decade of pathology industry experience.
 

Leading computational development within the Centre for Population Genomics' Genomic Technologies Group at the Garvan Institute of Medical Research, I apply my unique skills to develop new bioinformatic tools, as well as design and support nanopore sequencing infrastructure.

My research areas include:

  • Nanopore signal analysis

  • Clinical testing and method development

  • Short tandem repeat disorders

  • Viral genomics (HIV/SARS-Cov-2)

  • Single-cell sequencing

  • Direct RNA Sequencing

  • Genome assembly

  • Methylation detection

  • Machine/Deep learning

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Experience

Garvan Institute / Genomic Systems Analyst

June 2017 - PRESENT,  Darlinghurst

Cerebro Biosystems / Co-founder and CTO

October 2017 - PRESENT,  Darlinghurst

Healius (Primary Healthcare) / Senior Software Developer 

December 2017 - PRESENT,  St Leonards

Garvan Institute / Research Assistant

Dec 2016 - June 2017,  Darlinghurst

Primary Healthcare / Analyst Programmer

June 2015 - June 2017,  St Leonards

Douglas Hanly Moir Pathology / Lab Aide

2011 - 2015,  Macquarie Park

Davies Campbell De Lambert/Healthscope Pathology / Lab Aide

2009-2011,  Ryde

Awards

  • 2020 - Runner-up poster prize - London Calling

  • 2019 - Lighting talk award - ABACBS/GIW

  • 2018 - Palmer Innovation award - Garvan award

  • 2017 - J&J award - Med Tech’s Got Talent

  • 2017 - Garvan Award: For going ‘above and beyond’ in supporting the bioinformatics culture at Garvan

  • 2017 - Late breaking poster award - AGTA Conference

Skills

  • Linux/UNIX, BASH

  • Python, Rust, R statistical programming, C, AHK, SQL

  • algorithm design

  • High-Performance Computing (SGE)

  • Bioinformatics, data science

  • system administration, automation, networking

  • Laboratory Information Systems (LIS)

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