About
I am a Data Scientist at Nationwide, focused on predictive modeling, NLP, and LLM-based workflows that turn unstructured business data into measurable decisions.
I earned a Ph.D. in Sociology from The Ohio State University in May 2023, advised by Sam Clark. My dissertation focused on computational social science for sociological research. I also worked with the openVA team, developing software and tooling for global health research and verbal autopsy analysis.
Before my doctoral work, I advised multinational organizations on sustainability and global business strategy. I am based in Columbus, Ohio.
- Predictive Modeling
- Generative AI and LLMs
- NLP and Text Analytics
- Responsible AI and Model Governance
Ph.D. in Sociology, 2023
The Ohio State University
M.A. in Sociology, 2019
The Ohio State University
Master of Public Policy (MPP), 2013
KDI School of Public Policy and Management
B.A. in Management, 2012
Handong Global University
What I Do
Forecasting and risk modeling for operational and strategic decisions.
Document and text pipelines using NLP and LLMs for enterprise workflows.
Practical evaluation, controls, and governance for trustworthy AI deployment.
Selected Work
Applied data science and research work in NLP, LLMs, and global health analytics.
- The openVA toolkit for Verbal Autopsies: Open-source R tools for standardized verbal autopsy model workflows.
- COVerAGE-DB: a global demographic database of COVID-19: Cross-country harmonization of age- and sex-specific case and death data.
- Estimating causes of death where there is no medical certification: Method and standards review for verbal autopsy implementation at scale.
Publications
Selected peer-reviewed research and applied methodological work.
Contact
I usually reply within 2 business days.