I am currently the Chief Scientific Officer at Delfina. Our team leverages multiple data sources and data science tools to build patient-centered technologies that improve pregnancy care.

I was formerly a Harvard Data Science Initiative Postdoctoral Fellow, where I specialized in integrating causal inference methods into implementation science to evaluate the impact of programs and policies on health outcomes. I worked closely with research partners at Planned Parenthood, Partners In Health, D-tree International, and Mass General Brigham. A selection of my collaborative research projects can be found here.

I have a PhD in Biostatistics from Harvard University. My thesis focused on the development of novel statistical methods to estimate causal effects in complex data settings.