I am currently a Data Scientist at Meta on the Central Products, Integrity Risk Foundations team where I work at the intersection of data, policy, and platform integrity. My work involves building and maintaining compliance-critical data pipelines and metrics, designing data models and measurement frameworks, as well as producing analyses that inform decisions made by policy, legal, and product leadership. I also develop agentic evaluation frameworks and leverage AI solutions to automate analytics workflows — documenting best practices for working with LLMs including prompt engineering and semantic modeling.
Previously, I was a Researcher at the Institute for Health Metrics and Evaluation (IHME), a global health research organization based at the University of Washington. Working in the Resource Tracking division, I developed statistical models to inform strategic global health funding decisions at the Bill & Melinda Gates Foundation. I published three papers in high-impact journals including The Lancet and Alzheimer’s & Dementia. I represented my team and presented the results of our research at international conferences Alzheimer’s Association International Conference 2023 and Alzheimer’s Disease International 2024. I also hosted weekly office hours to provide programming support for fellow researchers across the institute.
Earlier in my career, I was a Research Assistant at the Johns Hopkins Data Science Lab, where I developed the OCSdata R package (published on CRAN with 14,000+ downloads), built accessible web applications, and co-authored a textbook on teaching data science through case studies. In December 2021, I graduated with a Master’s degree in Biomedical Engineering from Johns Hopkins University with a focus on neuroengineering and biomedical data science.
I am energized by the power of data science and AI to extract meaning from complex systems and deliver actionable insights. As AI and machine learning continue to reshape every facet of life, I am committed to using these tools responsibly. My focus is on building solutions grounded in evidence and advocacy for safeguards to mitigate abuse and amplify social good.
See my CV on Overleaf.