Assistant Professor, Department of Computer Science
Alex Mariakakis is an Assistant Professor in the Department of Computer Science.
As a ubiquitous computing and human-computer interaction researcher, Mariakakis’s work broadly identifies applications of machine learning and computer vision on sensor data for human-centered issues. His primary research is in mobile health, leveraging smartphone sensors to objectively measure symptoms that are typically judged qualitatively.
Mariakakis's two most cited projects, PupilScren and BiliScreen, leverage a smartphone camera to identify cases of an impaired pupillary light reflex — for traumatic brain injuries — and scleral jaundice — for pancreatic cancer. His current research program seeks to combine passively collected sensor data with momentary assessments to support Bayesian diagnostics in contexts like influenza, Parkinson's disease and mental health.
Mariakakis received his PhD in computer science and engineering at the University of Washington. He recently completed a postdoctoral fellowship in the School of Computer Science & Engineering at the University of Washington and part-time researcher position at Sage Bionetworks.
His work is published in top-tier venues in his field, including ACM Conference on Human Factors in Computing Systems (CHI) and ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). His work has also been featured by many media outlets including the BBC, National Geographic and USA Today. Mariakakis is a recipient of the National Science Foundation Graduation Research Fellowship, the Qualcomm Innovation Fellowship and the Gaetano Borriello Outstanding Student Award at UbiComp 2018.