Concept
The NYC Trolley Problem
NYC culture · Transit · Swipe game
New Yorkers already have strong opinions about stations, neighborhoods, transit modes, public art, and pigeons. This turns those arguments into a deliberately impossible series of binary choices.
A Tinder-style swipe game that starts in hyper-niche transit mode — stations, subway lines, ferries, buses, and service patterns — before expanding into increasingly specific NYC cultural dilemmas.
Why I Made This
I wanted a New York version of the trolley problem that feels local enough to reward people who actually know the city.
The first mode is transit-heavy: players choose between stations, lines, buses, ferries, and other pieces of the system. Later rounds move into neighborhood and cultural matchups such as Koreatown versus Chinatown, DUMBO versus Gramercy, Keith Haring versus other New York iconography, and one giant pigeon versus all ordinary pigeons.
The interaction is intentionally simple: swipe left or right, then see how everyone else voted.
Prototype
Personality Systems Research
Assessment · Prototype · Identity
Most personality tests give you one tidy label and send you on your way. I wanted to see the messier version: overlapping traits, relative strengths, and changes over time.
A hub for personality assessment experiments: a scaled Enneagram test and an attachment-style quiz with self and partner modes, with longitudinal pattern tracking planned.
Why I Made This
Most personality tests give you a label. I wanted something a little more nuanced.
This project explores measuring personality traits on a spectrum rather than forcing people into a single category. Eventually I would like users to be able to save results and see how those patterns change over time.
Prototype
Colony Cat Management
Graduate-school era · Computer vision · TNR
I live near several cat colonies, encounter street cats almost everywhere I travel, and love cats enough to revisit a graduate-school model that was only right about 70% of the time.
Computer-vision identification and tracking for community cat caretakers.
Why I Made This
I live in a part of Manhattan with several cat colonies, I have traveled extensively in places with large street cat populations, and I simply love cats.
In graduate school, I tested whether computer vision could distinguish individual community cats. The model reached roughly 70% accuracy: promising enough to be interesting and unreliable enough that I would not pretend the problem was solved.
I want to revisit it as a tool for TNR volunteers tracking colony health, population changes, and cats that may need attention.
Concept
Wearable Computing
Hardware concept · Research · Sensors
I want to make my own wearable and take control of the data it collects.
Exploring modular sensors, passive power systems, and retrofitting traditional watches with modern tracking.