Rumi Chunara

Chunara was an undergraduate student at the California Institute of Technology, where she studied electrical engineering. She moved to the Massachusetts Institute of Technology for graduate studies, where she joined the Department of Electrical Engineering. Her master's dissertation investigated the creation of low-noise electronic readouts for high-throughput bimolecular detection.[4] Chunara joined the Harvard–MIT Program in Health Sciences and Technology, where she completed her doctoral research supervised by Scott Manalis.[1]

Chunara worked at the Boston Children's Hospital and Harvard Medical School.[5] Chunara joined the faculty at New York University in 2015. Her research makes use of data mining as well as the development of machine learning algorithms. She is particularly interested in how the acquisition of data can be used to better support public health decisions, and how ethics should be considered in the design of computational systems.

She has shown that it is possible to make use of social media and online sources to understand public health and emerging disease outbreaks.[6][7] In parts of the world, it can take weeks for public health information to be aggregated by health ministries. In these contexts, early warning signs of disease outbreak can be essential in directing medical workers and resources to areas of need.[8] She demonstrated that an increase in cholera-related Twitter posts in Haiti correlated with a Cholera outbreak.[9][10] In India, Chunara offered $0.02 rewards to people who completed a malaria survey, the outcomes of which informed the design and deployment of diagnostic kits.

Chunara co-developed Flu Near You,[11] a website that makes use of person-generated information to create spatially resolved maps of the prevalence of flu. Flu Near You emphasizes that it is possible to obtain useful public health information in the absence of public health officials. In 2018, the Bill & Melinda Gates Foundation supported Chunara to improve vaccination rates in Pakistan through the development of smart immunization targeting.[12] Chunara combined artificial intelligence with cell phone technologies to direct vaccinators to areas of poor coverage.[12] Chunara has also shown that hate speech on social media can be used to predict hate crimes in the real world.[13][14][15]

In an effort to understand whether disparities in accessing telemedicine reflected in-person healthcare access, Chunara studied the use of telemedicine during the COVID-19 pandemic.[16] She found that COVID diagnoses were considerably more likely for Black telemedicine patients as opposed to white patients.[17] She found that telemedicine use was related to mean income and household size.[17] Later that year she was supported by the National Institutes of Health (NIH) to train public health focused data scientists in Kenya.[18]