Led development of AI-powered healthcare solutions at the University of Kentucky Institute of Bioinformatics, including chatbots, monitoring systems, and prediction algorithms.
Healthcare AI applications often fail to address the emotional and psychological needs of patients. Our challenge was to create AI-powered solutions that feel supportive, accessible, and genuinely helpful while maintaining clinical accuracy.
Designing for intimate health discussions requires exceptional empathy
Users needed to feel safe sharing personal health information
Balancing AI capabilities with clear limitations and human oversight
Empathetic Interaction Design
Built and deployed Rasa-based chatbot focusing on empathetic interaction design and accessible user interfaces.
Led development with extensive user research with diabetic patients to understand pain points and workflow needs.
Developed Azure-based prediction system with focus on clear, actionable user notifications and anxiety-reducing interface design.
Created intuitive dashboards using Python and R to help doctors interpret complex pathology data.
Crafted responses that acknowledge user emotions and validate their experiences without being patronizing.
Gradually introduced more detailed questions as users became comfortable, avoiding overwhelming initial interactions.
Clear communication about data handling and multiple options for users to control their privacy settings.
Hi there! I'm here to help you track and understand your menopause journey. How are you feeling today?
I've been having some hot flashes lately...
I understand that can be really uncomfortable. Would you like to track when these happen so we can look for patterns together?