About
I have the mind of a scientist and the hands of a builder. I thrive on self-directed challenges and ambiguity, working at the intersection of science, data and AI to help people learn, decide and thrive.
2025
Started Amooze.ai
I built Amooze.ai, an AI concierge that handles restaurant discovery, recommendation and cross-platform reservation with one prompt. It turns 'cozy French bistro in SoHo for 4 tonight' into instantly bookable options across Resy and OpenTable.
Over five months, fully leveraging AI and vibe coding, I designed and shipped a consumer product end-to-end. I learned product design, database architecture, backend development, API integration, and engineered a full text-to-recommendation LLM search pipeline. The product is currently in beta with early users reporting 'habit-forming' experiences.
2022–2025
Data Scientist, GoGuardian (EdTech)
I joined GoGuardian to lead ML/AI solutions protecting 13 million K-12 students online. My work contributed to an 18-point increase in the Net Promoter Score (NPS) in 2023.
I led a team to win the company's first AI Hackathon and developed Smart Alerts for Proxies — our fastest-adopted feature ever, which earned unprompted coverage in EdTech Magazine.
Beyond product development, I led research initiatives exploring the societal impact of our platform, including studies on youth suicide prevention through digital monitoring and the relationship between student browsing patterns and academic performance.
2016–2022
PhD in Systems and Behavioral Neuroscience, NYU & NYU Shanghai
My PhD focused on the neurobiology and computational modeling of economic decision-making in rats and humans. My advisor was Jeffrey Erlich, and Paul Glimcher, the father of neuroeconomics, was on my thesis committee.
I self-taught programming (MATLAB, R, Python, SQL) and was trained in Bayesian statistics. Developed high-throughput behavioral systems, and used hierarchical Bayesian models to analyze risk parameters, resulting in a Nature Neuroscience paper showing how value is computed in the brain during economic decisions.
Along the way, I TAed for Intro for Neural Science, self-transitioned into Data Science via MOOCs, deepened my yoga practice, and somehow became the first PhD in Neural Science from NYU Shanghai.
2012–2016
BSc in Neuroscience, University of St. Andrews
Majored in neuroscience, dabbled in philosophy and German. My Honours thesis project on the mechanisms of concussion resulted in a publication in eNeuro. Took a swing at the Old Course, sadly did not retain any Scottish accent.
Thinking
- How I vibe coded an end-to-end consumer app with no SWE training
Notes on building fast by leaning on AI copilots, product sense, and tight loops.