I am an incoming PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. I am currently working as a research assistant at the University of Michigan, where I completed both my M.S.E. and B.S.E. in computer science. During my time at U of M, I have been fortunate to be advised by Professor Emily Mower Provost.
My research is focused on designing machine learning approaches to support human health and well-being. I am particulary interested in modeling the relationship between everyday behavior and well-being. I work on algorithms that can extract actionable insights from complex, “in the wild” data, such as the signals produced by mobile phones and smartwatches. Most of my prior work has focused on methods of automatically monitoring symptom severity in individuals with Bipolar Disorder using everyday smartphone conversations.
You can contact me at firstname.lastname@example.org.