Decision conditions first
I start by asking what the user is trying to decide, what context is missing, and where pressure changes behavior.
UX Researcher & Product Designer
UX designer focused on cognitive systems, adaptive support, and decision-heavy experiences.
I design products for moments where users are overloaded, uncertain, or trying to make decisions from complex information.
Based in the Dallas-Fort Worth area and open to UX research, product design, and systems-oriented design roles.
MS in Applied Cognition and Neuroscience, Cognition specialization (2026)UX Research + Product DesignBehavioral research backgroundSwiftUI / Figma / usability testing / prototyping
Featured work
Complex experiences, made easier to act on.
Adaptive execution supportVariable-capacity days
- Observe
- Infer
- Intervene
- Learn
Time Anchor
Working SwiftUI system for adaptive planning, check-ins, reminder routing, and variable-capacity days.
SwiftUI prototype with adaptive planning modes, correction capture, reminder routing, and SwiftData persistence.
- Methods
- SwiftUI build, Systems modeling, Scenario design, Prototype logic
- Outcome
- Working SwiftUI prototype with adaptive planning modes, check-ins, reminder routing, anchors, SwiftData persistence, and a privacy-first strategic extension.
UX SystemsCognitive SupportSwiftUIAdaptive Logic
NICU complexityParent overwhelmed by medical change, family questions, and fragmented updates.
What changedWhat it meansQuestions to askWho can help
NICU4U
Communication support for NICU families: parent orientation, plain-language learning, shared questions, and controlled family updates.
Grounded in a 100-day NICU stay, 578 feeding logs, journey mapping, and parent/care-team handoff patterns.
- Methods
- Parent journey mapping, Content hierarchy, Support flows
- Outcome
- A communication-support concept organized around understandable updates, next-step clarity, repeated-question relief, and parent-to-care-team coordination.
Health UXInformation ArchitectureParent Support
Difficulty3.57 -> 2.86
Confidence5.43 -> 6.00
SizeCompare
3D fit visualization research tied to sizing confidence, returns, and retail conversion risk.
Difficulty 3.57 -> 2.86; confidence 5.43 -> 6.00 in a small comparative study.
- Methods
- Prototype build, A/B study, Fit feedback modeling
- Outcome
- A Unity prototype and comparative study showing lower reported difficulty, with business framing around fit uncertainty, return risk, and ecommerce decision confidence.
Fit UXUnity PrototypeUsability Testing
Returning player habitOld controls meet new combatTransfer-aware onboarding
Control arena10
Intervention arena2
AC Origins Onboarding Redesign
Behavior-informed onboarding research using input logs, overlays, and negative-transfer evidence.
Repeated-X detections dropped from 10 in the control arena to 2 after the intervention.
- Methods
- Expert review, Controller logging, Overlay testing, Input-pattern analysis
- Outcome
- A redesigned onboarding direction grounded in expert review, thematic analysis, controller logs, and prompt-response evidence.
Game UXOnboardingUsability Testing
How I think
Design is the structure that helps people move.
Across healthcare, productivity, retail, and games, my work studies the same pattern: people make better decisions when systems reduce uncertainty, preserve context, and clarify the next action under pressure.
One lens, many domains
The same cognitive problems show up in healthcare, productivity, retail, games, and financial decisions.
Research into action
I translate evidence into flows, constraints, intervention points, and decisions users can actually move through.
My background is in Applied Cognition and Neuroscience, behavioral research, and product design. I study how people move through uncertainty, overload, transitions, fragmented information, and execution friction. The domains change; the decision problem is the through-line.
Read about my background