LONDON, UK | New York, NY
I'm a mixed-methods researcher.
I use cognitive science and human-centered research to develop products that inspire changes in belief and behavior. You'll find me anywhere along the spectrum from research to development: running studies, designing systems, and storytelling along the way.
Ask me about live tissue in medical research, what neuroaesthetics has to do with a performing arts center, or the best short story I read last year.
A healthcare client developing three surgical mesh prototypes needed to know where their designs could beat established market products and how to drive surgeon adoption. I managed recruitment for 15 in-depth interviews across NYC and Philadelphia, involving pre/post surveys, hands-on product trials, and open-ended qualitative interviews. I discovered key usability features driving brand choice: 73% of surgeons named mesh flexibility as the most important prototype-ranking factor, and 53% ranked prototypes entirely on usability despite 33% describing themselves as clinical-data-first decision-makers. The research shifted the client's product development priorities toward conformability and usability as the primary design targets.
A healthcare client developing an integrated IV bag prototype needed to know whether their design would fit into existing acute-care drug reconstitution workflows. I coordinated recruitment and attended 18 mixed-methods research sessions across NYC and Chicago. We conducted 1:1 interviews with nurses, pharmacists, and pharmacy techs, each involving structured pre/post concept ratings, hands-on product trial, usability scoring, and open-ended response. My analysis surfaced fundamental mismatches between the prototype's design assumptions and hospital workflow reality, with practitioners having to rely on external equipment for the product to function as intended. The research drove a major pivot in the client's product development direction, redirecting the design toward a one-piece drug reconstitution solution rather than a two-piece integrated system.
A challenger consumer medical device brand entering the US market needed a read on market attitudes 18 months after a new product launch. I owned a three-part longitudinal study analyzing social data: ~1,500 Instagram posts across 50 accounts, a key-market deep dive on 30 accounts each in NY, LA, and Dallas, and sentiment analysis of 173 patient comments across consumer review platforms and Reddit. When existing social listening tools failed for our purposes, I built a Claude-based Instagram data analysis pipeline within a week. I discovered: 42–51% SoV across key markets, brand advocacy from 37% to 71% by geography, and an uptick in organic mentions since launch with paid content tapering from 70% to 45% over 10 months. The client made the work a key piece of their annual strategic review and requested a follow-on executive readout.
EDmotions is an AI-enabled, DBT-based platform designed to help middle schoolers develop long-term emotional management habits. In the first NY pilot school, I ran a research program involving three student and one teacher/counselor focus groups where I conducted in-depth interviews, live product testing, and usability surveys. Quantitative findings revealed an 80% usability score, a 52% trust score, and an even lower 35% loyalty rating, suggesting high usability but low audience buy-in. The qualitative research explained this, surfacing fundamental design-vs-need mismatches: students were frustrated with the AI chatbot's cadence, preferred human support over AI, could not easily access the most-critical feature, and the app added a hidden liability burden for teachers. Research also revealed a successful niche use case with high-need students who benefited from a gentle digital-first off-ramp into in-person counseling. My findings shifted EDmotions' product strategy from a generalizable classroom tool to a targeted intervention for high-need student groups.