Mathematics
During the summer after seventh grade, I became absorbed in mathematics. It gave me a way to test whether what I was doing was right—or, more precisely, whether it made sense.
Background & experience
My background crosses mathematics, physics, the natural sciences, computer science, data engineering, research infrastructure, product building, and music technology.
Path
During the summer after seventh grade, I became absorbed in mathematics. It gave me a way to test whether what I was doing was right—or, more precisely, whether it made sense.
That interest expanded into physics, where mathematics became a way to connect abstract reasoning with how the world behaves.
From there, I pursued chemistry and neuroscience as academic majors and completed substantial coursework in both. That foundation still shapes how I think about complex systems across molecular, biological, cognitive, and technical scales.
My formal studies span computer science at Johns Hopkins and graduate computer science at UIUC, with foundations in software, data, machine learning, and systems.
At Johns Hopkins APL and the Center for Psychedelic and Consciousness Research, my work has involved data ingestion, automation, harmonization, and tools that support research workflows.
Across product teams and independent projects, I have worked on web systems, discovery tools, interactive software, and music technology.
The connecting question is how technical systems can make complexity easier to understand and useful action easier to choose.