Researcher
by training,
strategist
by instinct.
How I got here, and why I stay.
I came to research sideways. My first graduate degree was in immunology, a year in a lab in Manchester learning to ask a question precisely enough that the answer could be trusted. The questions I kept caring about turned out to be about people, not cells, so I went back for a second master's in Applied Cognition and Neuroscience, specializing in human–computer interaction and cognitive psychology, and never looked back.
Seven years later, I'm a Senior UX Researcher focused on Human–AI Interaction. For most of that time I was the founding researcher at Care.com, building the function from 0→1 on a two-sided platform serving 30M+ users, and running the studies myself while I stood it up. Player–coach by necessity and by preference: I'd rather design the conjoint study and teach a PM to run the next one than do either alone.
I believe the most valuable research is the kind that changes a decision, not the kind that confirms one. I lean qualitative to find the real question and quantitative to defend the answer: conjoint, MaxDiff, diary studies, behavioral experiments. The work I'm proudest of moved conversion +33% to +100% because it started from how people actually decide, not how we wished they would.
Lately my work centers on trust in AI-assisted experiences. My research surfaced what I call the authenticity paradox: the tension users feel between the efficiency of automation and their need for transparency and control. It's reshaped how the teams I work with think about AI adoption. I care a great deal about doing this responsibly: inclusive recruitment, honest data, and fairness assessments that hold up in front of a C-suite.
I'm based in Round Rock, Texas. The throughline from immunology to cognition to UX research is the same instinct: trust the evidence, and keep going one question past where the team stopped asking.
Selected experience.
Senior UX Researcher & Research Program Lead
UX Researcher
Social Media Analyst
How I work.
Research as instrument, not artifact.
A study is worth what it changes. I scope by the decision in front of the team, not the deck I'll eventually hand over.
Mixed-methods, on purpose.
Qualitative to find the real question, quantitative to defend the answer. Conjoint, MaxDiff, diary studies, behavioral interviews, whatever the decision requires.
Player–coach, 0→1.
I run the studies and build the function around them: the ops, playbooks, and repositories that let 15+ PMs and designers work independently.
Built to influence.
I partner directly with C-suite, VPs, and GMs, translating behavioral insight into roadmap priorities rather than reports that sit unread.
Responsible by default.
Inclusive recruitment, bias mitigation, ethical data handling, and fairness assessments that hold up under executive scrutiny.
Trust is the real metric.
Most growth problems are trust problems in disguise. My human–AI work centers on how people calibrate trust, the authenticity paradox included.
The toolkit.
- Jobs-to-be-Done (JTBD)
- In-depth interviews (IDIs)
- Contextual inquiry
- Focus groups
- Diary studies
- Concept testing
- Card sorting
- Tree testing
- Heuristic evaluation
- Benchmarking
- Survey design
- Conjoint
- MaxDiff
- Willingness-to-pay
- Analysis & synthesis
- User personas
- Segmentation
- Journey maps
- Roadmapping
- HMW workshops
- Roadshows
- Recruiting
- Scheduling
- Screener surveys
- Discussion guides
- Research repositories
- Insight libraries
- Exec readouts
- YTD reviews
Let's talk.
If your team is making a meaningful bet and the data is murky, I'd love to hear what you're working on.