- Ph.D., Demography, University of California, Berkeley, 2023
- M.A., Demography, University of California, Berkeley, 2019
- B.A., Sociology, Northwestern University, 2018
- Trainee, National Institute on Aging, 2019-2021
- Member, Population Association of America, 2019-2022
- Member, Modeling Infectious Disease Agent Study (MIDAS), 2022-2023
Dr. Roubenoff is a cross-discipline data scientist with training in geospatial statistics and analysis, computational social science, infectious disease modeling and simulation, and statistical modeling, with applications in computation for population and health that emphasize spatial and social heterogeneities. He is an expert in geospatial analysis for human and physical geography and can assist with any tasks related to geospatial statistics and geospatial data science, including applications with population and census data, spatial regression modeling, infectious disease, remote sensing, hydrological and environmental analysis, visualization, and mapping. He supports all phases of the data pipeline, from data processing and management to modeling, analysis, technical writing, and data visualization. Dr. Roubenoff can also assist with general programming tasks and has expertise with R, Python, and C++ for data science, software development, and simulation.
Prior to joining Exponent, Dr. Roubenoff conducted graduate research in Demography at the University of California, Berkeley, where he studied public health demography, spatial demography, and formal demography. His dissertation research involved compartmental and agent-based infectious disease models of COVID-19 transmission using data collected with the Berkeley Interpersonal Contact Survey to evaluate optimal vaccine distribution strategies and the long-term effects of waning vaccine-derived and post-infectious immunity. He also studied the parasitic infection Chagas Disease in Brazil, projecting future incidence in the context of a growing and shifting population at risk.
During his PhD studies, Dr. Roubenoff completed projects on immigration and health and legal nonprofit service accessibility, survey science, and mortality. He has been affiliated with the Berkeley Interdisciplinary Migration Initiative (BIMI), the Berkeley Interpersonal Contact Survey (BICS), and the Human Mortality Database (HMD). He also completed internships in Demography and Survey Science at Meta and Geospatial Data Science at Pivot Bio.