Leading the use of safe & innovative Artificial Intelligence applications in healthcare for Zus Health. I am presently building semantic search to unlock previously inaccessible workflows in patient care, and build clinical decision support tools to empower clinicians.I have led to GA our data usability strategy products running teams ranging from 1 - 12 contributors. I have built: - Our foundational real-time Master Patient Index with a sub-500 ms 99th percentile SLA. All other Zus products depend on this.- Our streaming medical record data reconciliation and summarization layer. This enables Zus’ collaborative patient longitudinal record.- Our serverless data normalization preprocessor which standardizes data formatting and terminology values across ICD-10, SNOMED, RxNorm, and LOINC.

I led development of all data science products for coaching insights and quantification of behavior change towards company’s KPI of participant weight loss across a team of 8 data scientists at Omada Health- Built the ML model development and deployment pipeline that enabled our team which had not launched a product in years to immediately ship 4 new projects, with a reusable pattern the entire team adopted.- Led cross functional partnerships with clinical research and finance increasing data literacy and trust across the organization.- Launched the revenue forecasting, churn emailing, weight-logging filtering, and participant message emotion classification models, and content personalization.- Created intent and emotion classification on participant messaging for mental state correlations to OKRs and coaching intervention design.- Built and ran a highly engaged, voluntary data labeling competition resulting in a ground-truth dataset of millions of examples, enabling problem-sizing the error rates affecting our chief revenue source. Presented the findings company-wide- Trained an explainable logistic regressor on my acquired dataset reducing the error rates from 3% to 0.3%, directly improving revenue, participant experience, support staff efficiency, and audit risk.

Earned a Master's Degree in Computer Science, with a specialty in Data Science

I worked with the Einstein.ai Salesforce team out of Palo Alto, CA as a back-end engineer on deep-learning products.- Developed restful API microservices & rate limiting system- Replaced legacy deep learning framework with a Tensorflow implementation- Created patented deep learning image data augmentation utility

I worked on a proprietary reactor design and analysis software at Terrapower in Seattle, WA.- Co-wrote patented nuclear reactor life cycle simulation software including graphical interface.- Established CICD, coding best-practices, tests, input validations, and project dashboard with reactor simulation analysis reporting.