Start with a real problem
I begin with a question that matters outside a benchmark, then build a system that makes it possible to investigate.
What I’m interested in
Technology, data
and the decisions between them.
I’m interested in the intersection of business and technology: how systems are built, how people use them, and what happens when their outputs inform consequential decisions.
I’m especially drawn to platform integrity, decision systems, and the relationship between evidence and interpretation. Music and entertainment give these questions a practical setting: patterns in listening can be visible while the reasons behind them remain uncertain.
How I work
Build carefully.
Question the result.
Look for failure modes
I test assumptions, challenge apparently strong results, and keep the failures that explain how my understanding changed.
Let evidence set the claim
I narrow a conclusion when the evidence requires it. I aim to show what a system can support and where human judgment or more information is needed.
Current research
My work through NEXUS.
NEXUS brings my projects together, from the questions that start them to the systems, findings and lessons I share.
View the research portfolio ↗Capabilities demonstrated through my work
From data to an
inspectable system.
I developed and applied these capabilities through PHANTOM’s research and engineering work.
Data and systems
I work with Python, DuckDB and Parquet to process data, inspect its structure and build repeatable analysis workflows.
Experiments and evidence
I design experiments, use statistical reference models to test what could happen by chance, and apply graph analysis to reconstruct relationships.
Reproducibility and review
I document decisions, preserve validation records, and build dashboards that help people inspect the evidence.