Since 2022, Freya has been helping develop and implement a machine learning model to predict risk of post-operative complications. She also conducted qualitative research on the process for adopting, integrating, and monitoring health AI tools to design a resource to guide health system leadership and foster a community support network across nine health systems in the U.S.
- Duke University BA 2025
- AAAS Mass Media Fellowship at The News & Observer Publishing Company
- More on LinkedIn
Publications with DIHI
- Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David Vidal, Suresh Balu, and Mark Sendak. 2023. Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23). Association for Computing Machinery, New York, NY, USA, 1396–1417. https://doi.org/10.1145/3593013.3594089
- Overcoming the Activation Energy Required to Unlock the Value of AI in Healthcare National Bureau of Economic Research · Oct 22, 2022