- July 21, 2021: Became an Affiliated Scientist at Techna
- April 12, 2021: Nominated as mHealth Training Institute 2021 Scholar
- September 23, 2020: Article on "Challenges in Health Sensing" Earns Best Paper Runner-Up
- September 12, 2020: Organized UbiComp/ISWC 2020 as Online Co-Chair
- August 30, 2020: Featured in the Greek newspaper Το Βήμα
Contact InfoEmail: mariakakis at cs dot toronto dot edu
I am an Assistant Professor in the Department of Computer Science at the University of Toronto and an Affiliate Scientist at Techna. I run the Computational Health and Interaction (CHAI) lab, which leverages ubiquitous and emergent technologies to address problems related to people’s health and wellbeing. My main research focus is on mobile health, but I also work in other areas of ubiquitous computing and human-computer interaction like mobile interaction and novel sensing.
Before joining the University of Toronto, I completed a joint-postdoctoral role under Larsson Omberg and Anind Dey, where I split my time between the Sage Bionetworks and the School of Computer Science and Engineering at the University of Washington. I completed my PhD at the University of Washington under the advising of Shwetak Patel and Jacob O. Wobbrock. I completed my undergraduate studies at Duke University with a double major in Electrical and Computer Engineering and Computer Science. During that time, I conducted research under Romit Roy Choudhury.
I have a sizable cohort of graduate students at this time, so I will not be looking at MSc or PhD applications that are submitted during the 2021–2022 academic year. For information about undergraduate recruiting in the CHAI lab, please refer to the following page.