Finale Doshi-Velez is the John L. Loeb Professor of Engineering and Applied Sciences at Harvard University, and she is keenly focused on creating methods to convert data into knowledge that can be acted upon. Her main research areas are machine learning, computational statistics, and data science, and these are heavily influenced by and often applied toward the goal of hastening scientific advancement and achieving practical impact in the sphere of healthcare, among others.

Specifically, Doshi-Velez has centered her work on answering questions such as: How can complex data sets be combined with other sources of knowledge using robust, principled models? How can models be designed to summarize and generate hypotheses from such data? How can the uncertainty in large, heterogeneous data be characterized to better support decisions? She is actively involved in the development of probabilistic methods to address these questions. Additionally, she is committed to harnessing big data for medical applications, including disease diagnosis, and has a particular interest in personalized medicine for patients suffering from HIV and depression.

Before joining SEAS, Doshi-Velez was an NSF CI-TRaCS Postdoctoral Fellow at the Center for Biomedical Informatics at Harvard Medical School. She studied as a Marshall Scholar at Trinity College, Cambridge, from 2007-2009. She has been recognized with awards such as the Air Force Research Laboratory Young Investigator Award, the Sloan Research Fellowship, the Everett Mendelsohn Excellence in Mentoring Award, the J. P. Morgan Faculty Award, and she was named one of IEEE's "AI Top 10 to Watch" in 2013. Notably, she has also been a speaker at popular science events, including two TED Talks, and is focused on making her algorithms interpretable to physicians.

Healthcare, Healthcare Policy, Business of Healthcare, Big Data, Data, Data Analytics, Science, Artificial Intelligence Computer Science, Technology, Women in Business, Influential Women, AIDS / HIV, Harvard,