Who I am
I got here through wires. I started in high school on my school's FTC robotics team, eventually running it as captain. Senior year, I joined Brown Formula Racing and spent nine months in the electronics subsystem. I also found I liked strategy. With an FRC team I was helping, the Excel spreadsheet full of match data and automatic macros calculating scoring chances was the part I kept coming back to. The numbers told a story about what a person under pressure was likely to do next.
That question became the plan. At Northeastern I study Artificial Intelligence and Behavioral Neuroscience, and both are about the same thing: people under load. I like tools that notice what is happening in the person using them. What you know. When you are about to make a bad call.
In my own notes I call this work human systems architecture. Systems that understand, support, predict, and improve how people think and perform. Big words for what is currently a chess trainer and a Python game. The direction holds.
This fall I'm in Belfast for my first semester, at Queen's University. Boston from January.
Aside from all that, I'm COO of Artistic Builders Guild, a collective of student builders and artists with members across Brown, MIT, Stanford, and more.
For the summer of 2027, I would love to do research or a first-year technical program. If your lab or team sits anywhere near human performance or human‑AI systems, please write to me.
The shelf
I really like these six papers, and I thought I would share.
- 01
Turing, Computing Machinery and Intelligence (1950).
Where the whole field's question comes from.
- 02
Hebb, The Organization of Behavior (1949).
How learning physically changes a brain.
- 03
Kahneman and Tversky, Judgment under Uncertainty (1974).
Why smart people decide badly.
- 04
Vaswani et al., Attention Is All You Need (2017).
Modern AI starts here.
- 05
Marr, Vision (1982).
Three levels for understanding any thinking system.
- 06
Endsley, Toward a Theory of Situation Awareness in Dynamic Systems (1995).
What a person inside a fast machine actually knows.