Summary
Chris Soria is a data engineer and PhD candidate in Demography at UC Berkeley who blends rigorous causal inference with practical engineering to study how social networks shape cognitive aging and dementia. He builds end-to-end data collection and processing systems for multinational studies, programs digital surveys in mobile platforms, and develops open-source tools like CatLLM to apply language and vision models to social science tasks without ML expertise. His NIA F31-funded research has produced peer-reviewed publications and conference presentations while leveraging LLMs to accelerate survey coding and image analysis. With a decade of experience spanning large-scale mortality datasets, field data collection across the Caribbean, and product-focused automation for businesses, he brings both disciplined research methods and production-ready tooling to interdisciplinary teams. An often-overlooked strength is his ability to translate complex epidemiologic methods into user-facing documentation and workflows that improve data quality in real time.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Demography, Doctor of Philosophy - PhD, Demography at University of California, Berkeley
High School, General, High School, General at North Salinas High School
Sociology, Sociology at City College of San Francisco
CodePath
Spanish, English