About Me

Hi! I’m a third year PhD student in computer science at MIT, advised by John Guttag and Roz Picard. My research interests are at the intersection of machine learning and causal inference. A lot of my work is motivated by mental health applications, including automatically monitoring health changes and recommending personalized interventions.

I received my M.S.E. and B.S.E. degrees in computer science from the University of Michigan in 2019 and 2018, repsectively. While there, I worked with Emily Mower Provost on machine learning methods for detecting symptom severity in individuals with bipolar disorder.

You can email me at kmatton@mit.edu and can find my CV here.