I make data accessible, actionable, and beautiful. I have over 10 years of experience curating datasets, analyzing data, and designing actionable data visualizations at the intersection of healthcare, public policy, and technology. My work has advanced research on rare diseases, informed global HIV-related policies, and helped launch new medical devices recognized as breakthroughs by the U.S. FDA.

My analyses inform practical, real-world decisions. I’ve designed dashboards that drove strategic decision-making by the U.S. CDC during natural disasters, and helped White House-level groups envision possible scenarios as they modeled decision-making during hypothetical future outbreaks. I helped to design and evaluate a digital therapeutic product for postpartum depression, and conducted analyses that inform how the U.S. FDA uses social media data to reduce medication errors. I’ve worked with ALS patients to improve the next-generation of power wheelchairs, and alongside UNAIDS to design data systems that characterize the impact of HIV-related laws and policies. My work has been published in peer-reviewed journals including JAMA and BMJ Global Health, used by the U.S. government to help measure and define “trustworthy” AI systems, and discussed at high-level United Nations and G20 meetings to create policy and economic guidelines for responding to infectious diseases. 

I love to ask questions. I’m a generalist and am often the “methods person” in a room full of experts, ranging from healthcare providers to diplomats, from legal experts to AI researchers. As I collaborate with them to make sense of their data and structure our findings, I have the privilege of learning from and with them. In doing so, sometimes I accidentally pick up some niche expertise of my own. For example, I may be the world’s leading expert in estimating the implementation costs of the International Health Regulations (2005), a legal framework that defines how countries have agreed to respond to public health events with the potential to cross borders. It’s a very specific skill set, but it’s come in handy a few times. I also love teaching, and I have taught data science courses at Carnegie Mellon, Georgetown University, and UC Berkeley.

I’m a gardener, a home cook, and a mom. I currently live in Berkeley, California, but have previously spent time in Los Angeles, Washington DC, Pittsburgh, NYC, and Boston. Outside of work, I find joy in running, growing obscure citrus trees, cooking big pots of beans, and chasing my very busy toddler around the park.