Marika is a Health Policy PhD student in the Decision Sciences track. She holds a Bachelor’s degree in Statistical Science from Cornell University and a Master’s degree in Information Science for Health Tech from Cornell Tech. Prior to joining Stanford in 2020, she worked at Weill Cornell Medicine, supporting the institution’s secondary use of electronic health record data for research, most notably in the development of the COVID-19 institutional data repository and natural language processing algorithms for detecting suicidality from clinical text.

Marika is interested in the application of machine learning methods for informing health policy decisions and evaluating the efficacy of implementing these algorithms into practice, particularly for vulnerable populations.