The STMI lab (pronounced stem-ee) was formed to develop truly integrative end-to-end solutions of smart systems to improve patient care and patient lives. This involves a deep understanding of embedded systems design to develop data collection systems to monitor and empower users, advanced data mining and machine learning modeling to understand the complex, longitudinal data collected, and clinical outcomes research to understand the long-term trajectories and risks patients have for a variety of conditions. This unique blend of multi-disciplinary research provides challenges and opportunities through our partnerships that can provide solutions that drive tangible impact on the quality of life and quality of care.
At its core, these problems require understanding the theoretical properties of the platforms as well as the data. Developing new models to interpret and improve clinical understanding and motivating the collection of new data leads to challenges in systems design, power, communication, and user interface design. In isolation, each field might provide solutions that can be adapted to the others, but by focusing on the end-to-end aspect of our designs, we explore the creation of systems that bridge theoretical gaps in each field as well as the gaps in multi-disciplinary adoption of these technologies.
At its core, these problems require understanding the theoretical properties of the platforms as well as the data. Developing new models to interpret and improve clinical understanding and motivating the collection of new data leads to challenges in systems design, power, communication, and user interface design. In isolation, each field might provide solutions that can be adapted to the others, but by focusing on the end-to-end aspect of our designs, we explore the creation of systems that bridge theoretical gaps in each field as well as the gaps in multi-disciplinary adoption of these technologies.
We are looking for passionate new PhD students, Master, and undergraduate students to join the team (more info) !
New Lab Member! The STMI lab congratulates undergraduate member Yichen Tao for his graduation and welcomes him back to our lab as a PhD student
15 April 20241 Published Paper! The STMI lab congratulates Zhale Nowroozilarki for her paper accepted by EMBC 2024!
11 November 20231 Published Journal! The STMI lab congratulates Arash Pakbin for his paper accepted by Journal of Statistical Software!
11 November 20231 Published Paper! The STMI lab congratulates Ryan King for his paper accepted by ML4H 2023!
13 October 20231 Published Journal! The STMI lab congratulates Nathan C. Hurley for his paper accepted by ACM HEALTH 2023!