PSYCHOLOGY × HUMAN-CENTERED DESIGN × ARTIFICIAL INTELLIGENCE
Understanding Pilots’ Perceptions of AI-Mediated Mental Health Support in Aviation: A Socio-Technical Framework, ACM CHI 2026
Digital Copilots: Advancing Pilot Mental Health Through AI Chatbots and Systems, AHFE 2025
Many of the systems we rely on today are complex, high-stakes, and increasingly shaped by AI. I’m interested in understanding where people struggle with these systems, why those breakdowns happen, and how research can help teams make better product decisions.
My work spans across, AI-driven technologies, health-tech and mental health systems, where I use mixed-methods research to understand how people interpret, trust, and interact with the tools they depend on. By studying these behaviors, I aim to surface insights that help teams make better product decisions grounded in real human needs.
Grounded in psychology, I begin each project by understanding both the people using the product and the goals the business is trying to achieve.
Through qualitative and quantitative research, I study how people interact with technology. For me, it’s all about paying attention to the micro-behaviors, emotions, and small signals that reveal when an experience feels intuitive or frustrating. I then synthesize patterns across the research and translate those insights into clear opportunities for product improvement.
By uncovering pain points, tensions, and trade-offs, I help teams understand what matters most to users while keeping product and business goals in view.
