Research Impact

Research Accomplishments

  • Interpreting SARS-CoV-2 seroprevalence, deaths, and fatality rate — Making a case for standardized reporting to improve communication
    MIDAS affiliated faculty member, Santiago Schnell, identifies key metadata for the COVID-19 fatality rate after a thorough analysis of mathematical models, serology-informed studies and determinants of causes of death for the COVID-19 pandemic.
  • Urban Air Pollution Mapping Using Fleet Vehicles as Mobile Monitors and Machine Learning
    MIDAS affiliated faculty members, Ji Zhu and Ming Xu, demonstrate the potential and necessity of using fleet vehicles as routine mobile sensors combined with advanced data science methods to provide high-resolution urban air quality monitoring.
  • Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data
    MIDAS affiliated faculty members, Srijan Sen and Ambuj Tewari, review federated learning and assess whether it can be useful in the mHealth field.