Afsaneh Doryab is a member of TYDE’s Seed Grants Committee.
As an associate professor of engineering, Doryab works on computational modeling of human behavior from data streams collected through mobile, wearable, and embedded sensors. Examples of her work in the health domain include detection of behavior change in people with depression, predicting mania-depression episodes in bipolar disorder, estimation of symptom severity in cancer patients, and modeling of surgical activities inside the operating room.
Doryab also works on intelligent applications for social good. Her recent work in Context-aware Peer-to-Peer economic exchange is focused on connecting communities of people through mobile technology to enable successful and meaningful service transactions, especially in low-income communities. In her research, she draws on methods from Machine Learning, Data Mining, Statistics, and Human-Computer Interaction.
Doryab previously served the faculty at Carnegie Mellon University’s School of Computer Science (2012-2019). She holds a Ph.D. in Computer Science and Information Technology.