The overarching goal of Dr. Rumi Chunara’s research is to develop computational and statistical approaches for acquiring, integrating and using data to improve population-level public health. She focuses on the design and development of data mining and machine learning methods to address challenges related to data and goals of public health, as well as fairness and ethics in the design and use of data and algorithms embedded in social systems. At NYU, Dr. Chunara also Directs the Center for Health Data Science, which develops data science methods in public and population health, as well as knowledge ecosystems to share and translate knowledge across disciplines and places. Previously, she was a Postdoctoral Fellow and Instructor at HealthMap and the Children’s Hospital Informatics Program at Harvard Medical School. She completed her PhD at the Harvard-MIT Division of Health Sciences and Technology and BSc at Caltech. She is an NSF CAREER, Facebook Research, Gates Foundation Grand Challenges, MIT Technology Review Top 35 Innovators Under 35 and Max Planck Sabbatical award winner.