Introduction
Data analysis and bioinformatics.
I'm a data analyst with a background in biology and a Master's in Bioinformatics. I like using data to explore questions that interest me, from microbial communities to cycling safety, and building tools I can use myself.
Profile
I work across data, technical problem-solving, and building tools that are actually useful. My background is in biology, but what draws me in is practical problems where the solution has to work, whether that's an imaging pipeline, a sales dashboard, or a browser extension I built because I needed it myself.
I like figuring things out. If something isn't working I'd rather dig into it than work around it, and I use whatever tool fits the job. Outside of work I'm into cycling, tennis, fantasy books, and reading about aging biology and biomarker tracking. Usually have a side project on the go.
Tools: Python, SQL, R, JavaScript, MATLAB, Tableau
Focus: Computational biology, data visualisation, workflow automation
Selected Work
Bioinformatics and Data
Developed for my MSc research to automate region-of-interest detection in calcium imaging data. Takes raw neuroscience imaging datasets, identifies active cell regions automatically, and outputs structured results that would otherwise require months of manual annotation. Roughly doubled the detection accuracy of the standard toolbox.
Python pipeline for identifying candidate aptamers (short DNA sequences that bind to specific targets, used in diagnostics and biosensors) from raw HT-SELEX sequencing data. Tracks how promising sequences change across selection rounds, helping avoid candidates that only look strong at a single point.
Can microbes found together in sourdough actually coexist? Benchmarks seven methods using microbial sequencing data from 500 starters against 28 lab experiments. A reproducible Python analysis that tests how well statistical predictions hold up against experimental evidence.
Data & Tools
Browser-only explorer that lets you ask plain-English questions about 15,485 Melbourne cyclist crashes from 2012 to 2025. Runs SQL against a static Parquet file entirely in the browser, with direct answers, charts, and raw table output.
Built because I needed it myself, this browser extension compares Australian board game prices directly on BoardGameGeek pages to make local price checking faster.
Standalone decision tool built to tackle buying decision paralysis. Compares options using several decision-making methods and shows how changes in your priorities affect the result. No AI or external APIs.
Work History
Academic Background
Global Health Training Centre
Completed September 2026
Completed November 2022
Anthropic
Completed May 2026
Anthropic
Completed May 2026
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