- 1st data scientist at fitbit, involved in numerous aspects of data across the company, including algorithm and ML model development, interventional features, user data analysis, AB tests, product design, data infrastructure, marketing data stories, user segmentation, user retention, and data partnerships.- Developed fitbit’s sleep detection algorithm, creating the core of the fitbit sleep experience. Over 3 Billion nights of sleep detected and counting.- Co-created fitbit’s most popular interventional feature, reminders-to-move as part of a rapid prototyping and user-testing team; ultimately designing a simple intuitive feature that demonstrably helps users become less sedentary.- Designed fitbit’s “insight-engine,” a dynamic highly-tunable content delivery system that delivers personalized content to users based on their characteristics, behavioral patterns, correlations, and past interactions.- Founding member of fitbit’s marketing data stories team, which uses fitbit data to create engaging and informative infographics, interactive web pages, magazine articles, and other stories across media channels. https://www.fitbit.com/fitscience- Managed high-performing 4 person team developing next-generation algorithms, hardware, and data features.- Spearheaded numerous deep-dive analyses of user data, including social graph structure, exercise trends, interventional efficacy, correlated vs. causal behaviors, behavioral segmentation, geographic and temporal trends, context awareness, etc.

+ Developed d3 charts and visualizations to highlight key insights of workplace behavioral datasets + Used workplace behavioral modeling to assess employee cultural-fit and performance for use in employee retention and hiring decisions+ Coordinated with external developers to develop database schema to meet customer and analytic business needs

Doctoral research in astrophysical data analysis pertaining to the structure and evolution of massive galaxies.+ Applied supervised machine learning methods to optimize astronomical target selection.+ Designed multiple data munging, data analysis, and data visualization software packages to analyze structured and unstructured datasets.+ Used Bayesian Monte Carlo and advanced spatial statistical techniques to characterize the internal structure of nearby galaxies.