University of California, San Francisco: Doctor of Philosophy (PhD) | Cognates in Machine Learning and Precision Health (2018); Fellow: Big Data Coursework for Computational Medicine (BDC4CM) in NYC, program supported by NIH grant R25-EB 020381

University of California, San Francisco: Training in Clinical Research (TICR) | School of Medicine, Department of Biostatistics & Epidemiology | Advanced ancillary coursework in biostatistics and supervised machine learning (2017)

University of California, San Francisco: Master of Science in Health Systems Leadership (2013)


DataCamp  | Data Scientist in Python Certificate (enrolled – May 2021)

Training in data management, importing, cleaning, manipulating, and visualizing data. Hands-on coding with many Python libraries, including pandas, NumPy, Matplotlib, and many more. Analyzing real-world datasets to apply statistical and machine learning such as train decision trees, natural language processing (NLP), and other methods.

Harvard University | edX Data Science in R Professional coursework; program supported by NIH grant R25-GM114818 (2019)

Training in probability, inference, regression, and machine learning. Skills: R programming, R studio, data wrangling with dplyr, data visualization with ggplot2, predictive modeling, machine learning with caret; file organization with Unix/Linux, version control with git and GitHub.

Board Certification in Informatics  | ANCC (2015-2025)

Performance Improvement Advisor Certification | Kaiser Permanente (2014)

Work Experience

Program Director, Research & Data Science | Kaiser Permanente Northern California (June 2018 – present)

Led and advanced the operating strategy of a regional program serving 21 hospitals and regional divisions. Served as board member and scientific reviewer on the regional IRB; Regional Section Chief, Clinical Operations in COVID-19 Regional Command Center; Interim Regional Analytics Lead for large program evaluations and data visualization projects; led the development 5-year business case with millions in operational benefits for a regional program; Led AHRQ 2019 Data Science in Healthcare Predictive Modeling Challenge team

Sr. Data Consultant | Kaiser Permanente Northern California, Division of Research, Systems Research Initiative (September 2016 – June 2018)

Informatics Consultant & Data Visualization Developer | Kaiser Permanente National IT, Innovation and Informatics (September 2013 – September 2016)

Clinical Analyst | Sepsis Performance Improvement Program, University of California, San Francisco Medical Center, Quality & Patient Safety (June 2012 – September 2013)

Assistant Department Manager | Critical Care, Kaiser Permanente Walnut Creek Medical Center (August 2008 – June 2012)

Electronic Health Record Facility Expert | Kaiser Permanente Walnut Creek Medical Center (January 2008 – June 2012)

Computer Programming

R | Harvard University DS coursework (2016-2019): R Studio IDE, git, dplyr, ggplot2, caret, statistical and machine learning programming, UCSF Machine Learning coursework, Software Carpentry, Kaiser Permanente Data Science workshop

Python | DataCamp Data Scientist in Python Certificate program (enrolled; 2021): Anaconda/Spyder IDE; import, clean, manipulate, and visualize data; pandas, NumPy, Matplotlib, etc.; statistical and machine learning techniques; train models and use natural language processing (NLP)

Stata | UCSF School of Medicine, Department of Biostatistics and Epidemioology (2015-2018): Data acquisition and management, data transformation, statistical programming and testing, derivation and validation of multivariable and hierarchical time-series regression models

Tableau | Kaiser Permanente National IT (2013-present): Data acquisition, data management, customized coding, visual analysis, development of interactive electronic dashboards, visual design, publishing to Tableau sever

SQL | Kaiser Permanente National IT (2014-2018): Training in data acquisition from Epic© Clarity and other relational databases; data management