The ubiquity of current smart and IoT devices has the potential to transform healthcare. For example, current devices can measure continuously activity levels, heart rate, blood oxygen levels, and electrocardiogram. Our lab is developing new devices which can measure additional streams of health data which are currently not possible. The summer project will involve visualization of this entire set of data, machine learning, and multiparametric data analysis to extract trends that match health outcomes.

Faculty Advisor

Project timeline

  • Start date: 06/01/2018
  • End date: 08/31/2018
  • Number of hours per week of research expected: 40

Candidate requirements

  • Skill sets: machine learning, data visualization
  • Student eligibility (as of Spring 2018): freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Other comments: independent thinking, critical thinking