(01)
Insomniac Festival App
Interviewed 8 festival-goers to uncover navigation, planning, coordination, and reliability barriers in the live-event experience.
(Researcher)Ann Arbor, MI · Open to relocation
Human behavior,
made actionable.
I combine behavioral science, mixed-methods research, and data analysis to understand how people think, decide, and interact with products, brands, and organizations.
(01)About me
Curious aboutthe why behindthe what.
I’m Wilson, a behavioral researcher trained in psychology, UX research, and data analysis at the University of Chicago and the University of Michigan.
My work sits at the intersection of people, data, and decision-making. I use interviews, usability testing, surveys, experiments, and quantitative analysis to uncover behavioral patterns and translate them into practical recommendations.
I’m especially interested in research that helps organizations make better decisions about products, customers, and people.
Listen deeplyFind patternsMake it useful
(02)Selected work
Research in
the real world.
Four studies. Different contexts.
One human-centered approach.
(02)
The Ordinary
Connected consumer interviews, digital and retail audits, and competitive research to reveal where ingredient transparency creates decision friction.
(03)
Heat & Human Behavior
Designed a controlled behavioral experiment examining how objective heat, subjective thermal experience, affect, and task performance relate over time.
(04)
Ecolab Talent Management
Interviewed senior leaders and translated organizational research into recommendations for employee engagement and performance.
(03)Expertise
From questions
to clarity.
I move between human stories and quantitative signals—choosing the right method for the question, not the other way around.
Qualitative & Experience Research
Interviews · Usability Testing · Journey Mapping · Research Synthesis
Behavioral & Organizational Research
Experiments · Consumer Insights · People Research · Survey Research
Quantitative Analysis
Statistical Modeling · Data Visualization · Python · R · SQL