Maciej Kos is a Ph.D. candidate in the Personal Health Informatics program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Misha Pavel. Maciej is dedicated to applying his interdisciplinary expertise to creating machine learning algorithms and individualized, closed-loop, computational models for novel health technologies, specifically for marginalized, underrepresented populations, and older adults.
Maciej started his graduate education studying economics, earning his bachelor’s and master’s degrees in economics and E-business from the University of Gdansk and his Master of Science degree in Economics of Science and Innovation from Barcelona Graduate School of Economics. Before coming to Northeastern, Maciej earned his Master of Arts degree in Information Science from the University of Michigan, where he developed his background in behavioral sciences and user experience.
As a member of the Consortium on Technology for Proactive care, Maciej contributes to projects dedicated to cognitive modeling, health monitoring, and just-in-time adaptive interventions.
In general, I want to help people live longer and happier lives.
I am currently interested in using computational modeling and health informatics to develop:
While my doctoral research is mainly quantitative, I am a firm believer in using mixed-methods and diverse research paradigms to solve challenging problems effectively.
I would like to continue doing socially meaningful research, ideally at one of the top academic institutions or industry labs in my field.
I grew up in Gdynia, Poland during the transition from a communist state to democracy, quite close to where Lech Walesa led negotiations between shipyard workers and the communist regime. This experience imbued me with a deep appreciation of human rights activism and peaceful dissent as a means of dissolving oppression.
Maciej Kos is a Ph.D. candidate in the Personal Health Informatics program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Misha Pavel. Maciej is dedicated to applying his interdisciplinary expertise to creating machine learning algorithms and individualized, closed-loop, computational models for novel health technologies, specifically for marginalized, underrepresented populations, and older adults.
Maciej started his graduate education studying economics, earning his bachelor’s and master’s degrees in economics and E-business from the University of Gdansk and his Master of Science degree in Economics of Science and Innovation from Barcelona Graduate School of Economics. Before coming to Northeastern, Maciej earned his Master of Arts degree in Information Science from the University of Michigan, where he developed his background in behavioral sciences and user experience.
As a member of the Consortium on Technology for Proactive care, Maciej contributes to projects dedicated to cognitive modeling, health monitoring, and just-in-time adaptive interventions.
In general, I want to help people live longer and happier lives.
I am currently interested in using computational modeling and health informatics to develop:
While my doctoral research is mainly quantitative, I am a firm believer in using mixed-methods and diverse research paradigms to solve challenging problems effectively.
I would like to continue doing socially meaningful research, ideally at one of the top academic institutions or industry labs in my field.
I grew up in Gdynia, Poland during the transition from a communist state to democracy, quite close to where Lech Walesa led negotiations between shipyard workers and the communist regime. This experience imbued me with a deep appreciation of human rights activism and peaceful dissent as a means of dissolving oppression.
