Director & Head of Data Sciences at nference

I am currently the Director & Head of Data Sciences at nference which is an artificial intelligence company based in Cambridge, MA that aims to synthesize the world’s biomedical knowledge. In my role, I supervise data science research projects and collaborations with biopharma clients. Our team is developing state-of-the-art AI models to extract covariates from clinical notes and predict cardiovascular conditions from 12-lead ECG data. In collaboration with the Mayo Clinic, we have published numerous real-world evidence studies on COVID-19, and our work has been cited by government agencies including the White House and CDC.

Previously, I received my PhD in 2019 from the MIT Operations Research Center. I had the privilege of working with Prof. Dimitris Bertsimas as my advisor, and my thesis was on the development of machine learning methods specialized for healthcare datasets with missing and uncertain values. During my studies, I co-developed OptImpute which is a state-of-the-art optimization-based imputation method. I am passionate about machine learning, natural language processing, and personalized medicine with a particular interest in research that has the potential to impact clinical care.

Outside of work, I enjoy running, swimming, and playing fetch with my dog Lucy.