Systems-level Analytics
I draw on over a decade of data analytics and statistical programming to identify meaningful patterns in complex systems and drive data-driven decision making. I currently consult with the Research & Planning (RP) Group to support student success and equity for the California Community College systems. I use my background of bioengineering, disease ecology, and epidemiological statistics to rigorously analyze "black box" systems and draw actionable conclusions on their inner workings.
Supporting Community College Students with Data
As an institutional researcher, I work to support community college student equity and success. I currently consult with the RP Group to assess the impacts of state-level policies on equitable student outcomes. I previously worked with the Office of Research and Planning at the City College of San Francisco to visualize data and empower faculty and staff to make evidence-based decisions.
COVID-19 and Income Inequality
The infection fatality rate (IFR) for COVID-19 is influenced by several variables. This interactive demo examines the relationship between IFR, age, and income (measured as median income or income inequality) on a country level. United States data was inferred using a Bayesian statistical model.
Theoretical Models of Bioengineering for Global Health
As genetic engineering becomes easier and cheaper, its potential for improving global health continues to grow. This theoretical model examines the potential application of a CRISPR-Cas9 gene drive to a population of Biomphalaria glabrata snails, the intermediate host for the neglected tropical disease schistosomiasis.
Disease Modeling
Pandemics are often simulated using compartmental epidemiological models. This interactive demo walks the user through a few different models, each increasing in complexity.