Research Design
November 2019A deep dive into advanced research methodology, drawing on a mix of qualitative and quantitative approaches.
Data Scientist, Epidemiologist, and Biostatistician
About Me
I’m a data scientist, biostatistician, and epidemiologist with experience in real-world evidence, causal inference, and large-scale forecasting. I’ve built population health infrastructure for LA County Public Health, scaled tooling (i.e. provider directories, CalAIM data visualization builders) and analytics (i.e. predictive engagement, utilization and claims forecasting) as a Senior Data Scientist at Centene, and worked across cross-functional teams from startups to large enterprises.
Some of what I do:
- → Production-grade data pipelines and explainable ML, built in R, Python, and SQL
- → Causal inference that answers “what actually works”, not just “what correlates”
- → Translating statistical results into decisions for executives and policymakers
I care about how people and models reason, and where each fails. I've mentored analysts and co-taught doctorate-level statistical methods and data science. Earlier in my career I co-founded a gym that grew past 1,000 members, which taught me how to build something high-touch & human-centered from zero.
2
PhD-level courses co-taught in 3 languages
100+
Data Science Courses Completed
Selected Visualizations
A sample of analytical outputs — from network analysis and causal graphs to individualization of effect estimates and semantic dimensionality reduction.
Selected Presentations
Data Science for Public Good
June 2020Presented for Statistics Without Borders as part of a panel at the Joint Statistical Meeting (American Statistical Association).
Teaching Data Science & Machine Learning
June 2020Introducing R language, data wrangling, and computer vision.
Experimental Research Design
Do Cognitive Reference Points at Encoding Nonarbitrarily Influence Working Memory?
2017An experiment examining perceptual frameworks and their influence on facets of memory.
Creative Confidence and Divergent Thinking
2018An experiment exploring the cognitive components of divergent thinking and the role of creative confidence in problem-solving.
The Effects of Acute Exercise on Working Memory Capacity (WMC)
2018An experiment investigating the acute effects of aerobic exercise on WMC.
Preprints
The Inflammatory Cascade Through Discrimination, Socioeconomic Status, and Body-Mass Index
Preprint hosted on medRxiv.
Receptive Vocabulary Performance Varies with Depression
Preprint hosted on PsyArXiv via Open Science Framework.
Genetic Prediction of Parkinson’s Diagnosis: Firth to Ensemble Learning
Preprint hosted on medRxiv.
The Prognostic Value of Genetic Architectures in Cognitive Decline
Preprint hosted on medRxiv.
Heterogeneity In Multimodal AI Feature Engineering Utility For Explaining Change In Dementia
Preprint hosted on PsyArXiv via Open Science Framework.
1- Lightning Talk on influencing working memory with
physical exercise
2- Meetup: Using R and Python Together with Reticulate
3- Robot Dream: Reciting a poem and comparing it with a
poem by GPT-3
Professional Experience
Senior Data Scientist (III)
Centene 2022 - 2025Designed and developed machine learning, evaluation, and probabilistic forecasting (claims spend, utilization, and marketwide membership) for every plan and every medical department of care (i.e. oncology, cardiology, neurology, etc) in every status (scheduled, urgent, emergency, etc) in California. Developed interactive R Shiny web applications updated daily. Managed fail-safe data ingestion pipelines handling 0.5B-1.5B rows of healthcare claims data.
Epidemiologist - Data Science Team
Los Angeles County Department of Public Health 2020 - 2022Led the Outbreak Management SQL Server Team. Produced complex reproducible reports 7 days a week using R, SAS, and SQL. Developed de-identified data wrangling pipelines for all Los Angeles County School COVID-19 data.
Researcher
Claremont Graduate University (CGU), Public Health/Mathematics Dec 2020 - Mid 2021Leveraged open-source natural language processing libraries to build tabular time-series from unstructured text. Applied AI for predictive models and contributed to the implementation of parameterized models.
Statistical Consultant
Statistics Without Borders 2019 - Per EngagementLed a distributed team of data scientists on an NLP project concerning COVID-19. Presented at the 2020 Joint Statistical Meeting (JSM) on supporting emergency response clients.
Graduate Teaching Assistant
CGU, School of Community & Global Health May 2020 - Aug 2020Mediation, conditional process modeling, growth curves, multinomial regression, and mixed effects.
Graduate Teaching Assistant
CGU, Transdisciplinary Studies May 2020 - Aug 2020Dimensional reduction, dealing with missing data, visualization, and time-series data wrangling.
Support
Pomona High-Performance Computing Unit June 2019 - Oct 2020Leveraged supercomputers for Natural Language Processing. Presented on H2O Driverless AI and ggplot2.
Researcher
CGU, School of Community & Global Health Jan 2019 - May 2019Fit generalized low-rank models, Bayesian mixed effects models, and gradient boosting machines for longitudinal responses to breast cancer treatments.
Researcher
Human Working Memory Lab Jan 2018 - Dec 2018Built cognitive tasks, ran experiments in accordance with human research ethics, and analyzed data via reproducible pipelines for cognitive science.
Community Adviser
Claremont Collegiate Apartments June 2016 - Aug 2020Served as a resource and community adviser for residents.
One Team Lead
Deloitte April 2013 - Aug 2013Led operational teams to support business objectives.
Cofounder
Studiomix Nov 2011 - April 2013Co-founded a San Francisco-based health and fitness startup.
Teaching
Technical Toolbox
Languages & AI
- R / Python / Julia / SAS
- SQL / Arrow
- Agentic LLMs (Command Line, IDE integrations)
- Machine Learning / Deep Learning / Forecasting / Statistics
Statistics & Modeling
- Causal Inference
- Bayesian Statistics
- Structural Equation Models
- Psychometrics
Infrastructure & Tools
- Shiny / Posit Connect
- AWS (EC2, S3)
- Docker / CI/CD
- Cloud Computing
Honors & Awards
James A. Blaisdell Fellow
2019Claremont Graduate University
Howard R. Houston Fellow
2017Claremont Graduate University
Randall Lewis Fellow
2016Claremont Graduate University (Declined)
Dean's International Scholar
2010San Jose State University
Leadership Alliance Scholar
2009Tufts University
Ronald E. McNair Scholar
2009San Jose State University
S. H. Scaffold Scholar
2008San Jose State University
Education
Ph.D. Health Promotion Sciences
Neurocognitive Sciences, Biostatistics, and Epidemiology
Claremont Graduate University, Post-Coursework 2020
Tool Milestone: Data Science 2019
Machine Learning Scientist
Machine Learning Scientist Certificate
DataCamp, 2026
Credential ID 33ab3bdeab3d9364bb18ef3e3608044ecd1347d6
Statistician
R Statistician Certificate
DataCamp, 2020
Credential ID 147123
Master of Public Health
Biostatistics and Epidemiology
Claremont Graduate University, 2019
Artificial Intelligence Bootcamp
Kinestry, 2019
Data Scientist
R Data Scientist Certificate
DataCamp, 2017
Credential ID 5703
Data Analyst
R Data Analyst Certificate
DataCamp, 2017
Credential ID 4526
Developer
R Developer Certificate
DataCamp, 2017
Credential ID 4799
Bachelor's degree
Global Studies
San Jose State University, 2010
#1 Most Transformative University #5 Public University in the U.S.Personal Trainer
ACE-CPT
American Council on Exercise, 2007