Bridging the gap between cutting-edge technology and meaningful health outcomes
I'm a data scientist who builds wearable health technology at the intersection of rigorous science and real-world performance.
As a former collegiate basketball player, I’ve always been obsessed with the "why" behind performance. Today, I trade the court for data science, leveraging my background in biometric signals—heart rate, activity, sleep, and metabolic markers—to build products that help people understand their own bodies.
My career has spanned tech startups, government consulting, and medical devices, but my sweet spot is the intersection of technical depth and human performance. I’ve worked across the entire product lifecycle, from architecting automated annotation tools for algorithm development to leading clinical data strategy.
I thrive on bridging the gap between "what the sensor sees" and "what the user needs". Whether I’m collaborating with algorithm engineers to tune feature performance or synthesizing research into actionable product recommendations, I bring the same drive I had on the court to every technical challenge. I’m energized by the future of wearable tech and human performance, specifically roles that require a mix of biometric analysis, creative product strategy, and a deep understanding of how data can optimize the user's journey.
If you’re building the next generation of data-informed health and performance products, let’s connect!
Multimodal physiological data, time series analysis, sensor data quality & validation
Clinical study data leadership, stakeholder alignment across clinical & DM teams, regulatory-grade data processing & delivery
Executive reporting & insights communication, custom visualization tools, dashboard development, technical storytelling for stakeholders
Stakeholder alignment across clinical, engineering & product teams, technical project leadership, knowledge sharing & mentorship
My work spans clinical data science, algorithm development, and product analytics in wearable health technology, with deep expertise in continuous physiological sensors and real-world validation.
As a Data Scientist on the Therapeutics Diagnostics & Insights team, I analyze CGM data alongside activity, sleep, and heart rate signals to understand user behavior and drive mobile app feature development. I collaborate closely with product managers and algorithm engineers to validate algorithm performance in the real world.
I built predictive models for population health outcomes and led the business analysis for a $2M data warehouse modernization project. This role taught me how to translate complex healthcare data into actionable insights for clinical and policy stakeholders—skills that directly translate to my current work in digital health.
Before transitioning fully to tech, I analyzed performance data for 200+ student-athletes across 26 NCAA teams at UC San Diego. This experience, combining my background as a college basketball player with emerging data science skills, showed me the power of using data to improve real-world outcomes for people.
I share insights on product management, health technology, and the future of digital health through writing, speaking engagements, and industry recognition.
"As a Data Scientist at Dexcom, she's been a source of motivation for our students, participating as a panelist in workshops and attending board meetings."
View Recognition →College to Career: The Importance of Networking in Today's Digital Age
Watch →Student event for learning about technical interview from top professionals in the data science field.
View Post →From Catapult in college basketball to Whoop on the jiu-jitsu mats—my personal journey through four different wearables trying to find what actually works.
Read More →Coming Soon...
Comprehensive analysis of how leading fitness wearables on the market.
I'm always interested in connecting with fellow product managers, health tech professionals, and anyone passionate about improving healthcare through technology.