Product Designer & Certified Usability Analyst
I design enterprise AI tools, healthcare platforms, and analytics systems — turning complex, high-stakes workflows into experiences people can trust. 10+ years across pharmaceutical, healthcare, and higher education. Currently at Abbott, designing customer support experiences for medical devices.
80% reduction in report review time — end-to-end UX for an AI-assisted authoring tool, piloted at one site and scaled to five across North America.
A centralized real-time alert system for ~1,000 Operations users across 4 business verticals — designed to surface the right signal at the right moment.
Unified view of a product's full manufacturing history across multiple sites and geographies — replacing fragmented manual processes for global Operations teams.
Redesigned academic advising for 7,000+ students — a Salesforce-integrated scheduling tool that has been live and in continuous use since launch.
I'm a Product Designer and Certified Usability Analyst (CUA) based in Pittsburgh, currently working at Abbott designing customer support experiences for medical devices across North America and EMEA.
My path started in electronics engineering, moved through a Master's in New Media Design, and has since taken me across industries such as pharmaceutical, healthcare, higher education, and nonprofit with always with the same goal: Turning complex workflows into intuitive experiences.
I'm drawn to high-stakes problems such as AI tools where trust is everything, analytics dashboards where clarity drives decisions, and regulated enterprise systems. I thrive when design has to earn its place.
Outside of work, I advocate for inclusivity in tech and have been recognized twice with the AbbVie Excellence Award — for championing the first UX Summit and for supporting the Tech in Residence program to bring more STEM women into AbbVie.
I prioritize getting close to users — through interviews, usability testing, or SME collaboration — before committing to a direction. Every design decision traces back to a real insight.
When users interact with AI-driven tools, transparency isn't optional. I design for explainability, making sure every recommendation or suggestion is grounded in a reasoning users can understand and act on.
Some of my best design decisions have come from sitting with developers, engineers, and stakeholders early. I keep technical constraints and business goals in view from day one and not as obstacles, but as creative inputs.