Interdisciplinary PhD researcher using mixed-methods, and sociotechnical insight researching structural inequity, digital behavior, and human experience to create more accessible and intuitive technology across health, education, and AI.
10+ Years of Research Excellence
Specialized in creating AI systems that are understandable, accessible, and grounded in real-world human behavior
Designing AI experiences that prioritize human understanding, transparency, and ethical considerations
Combining qualitative and quantitative approaches to uncover deep user insights and behavioral patterns
Analyzing how people interact with digital systems to inform better product design and strategy
Ensuring AI systems reflect equity principles and understanding how algorithms shape social structures
Designing inclusive digital experiences that work for diverse user populations and abilities
Applying rigorous measurement frameworks to understand and predict human behavior
Engaging audiences through teaching, guest lectures, and keynote presentations on AI ethics and research methodologies
Creating compelling visual narratives with geospatial data and advanced visualization tools to drive insights
With 10+ years of experience across qualitative, quantitative, and geospatial research, I specialize in uncovering user needs and translating complex behavior into clear, actionable recommendations.
My work bridges human behavior, ethical AI, and digital product strategy to help teams build technology that truly serves people. I work across data systems and theoretical groundings of human behavior, equity, and AI ethics.
I bring deep expertise in understanding how algorithms reflect broader social structures and shape digital behavior—with a passion for creating AI systems that are understandable, accessible, and grounded in real-world human experience.
Interdisciplinary Approach
Combining sociology, public health, and digital humanities
Human-First Philosophy
Prioritizing equity, accessibility, and ethical considerations
Proven Research Excellence
Published work and presentations to federal agencies and healthcare leaders
From health chatbots to maternal health initiatives, my work translates complex research into actionable insights
Problem:
Understanding how users interact with AI health chatbots
Method:
Mixed-methods UX research and usability testing
Impact:
Improved communication effectiveness and user trust
Problem:
Visualizing behavioral patterns across communities
Method:
QGIS & ArcGIS geospatial analysis
Impact:
Data-driven insights for public health policy
Problem:
Understanding maternal health access barriers
Method:
Photovoice + qualitative interview frameworks
Impact:
Informed policy improvements and care delivery
Whether you're looking for UX research expertise, AI ethics consulting, or mixed-methods behavioral insights—let's collaborate to create technology that truly serves people.