Profile

• What is the best web address for people to learn more about you?

  http://andrei-irimia.com

  
  
• What would you like us to know about you?

  I am a physicist, computer scientist and applied mathematician whose data science and informatics research bridges the fields of nonlinear dynamics, partial differential equations, graph/network theory, machine learning, multivariate statistical analysis, pattern recognition, digital signal processing, scientific visualization and analytic number theory. Throughout the past 16 years, my efforts have been dedicated to the use of population-level mathematical modeling and sophisticated high-dimensional data analysis techniques to solve challenging problems in many-body atomic and particle physics, dynamic network analysis as well as feature extraction from complex data sets using novel algorithmic and visualization methods. I am particularly interested in applying data science methods in conjunction with wearable/ambient sensors to study the evolution of dynamic biological systems, to identify the causal mechanisms responsible for nonlinearity in such systems, and to develop novel analytic approaches to the control and response optimization of large-scale biological networks.

  Currently, I am an assistant professor at the University of Southern California, where my research continues to rely heavily on informatics and data science. In collaboration with my USC colleagues, I have developed the connectogram, which is a unique and attractive informatics approach to the mapping and visualization of large-scale networks. Connectograms have been adopted at over 50 research sites worldwide and their growing use has been underscored in prominent, highly-cited reviews published by Nature and Nature Methods. Our research involving connectograms has also been featured by Discovery Magazine, the New York Times, the Los Angeles Times, CNN, NBC, and by numerous other venues.

  One of my primary research aims for the next 5 years is to make my research methodologies amenable for integration with wearable sensors with the ultimate goal of advancing the goals of precision medicine via big data science and neuroinformatics. In particular, monitoring the health status of patients using wearable or ambient sensors is of particular interest to me. I believe that recent developments in wireless technology and in cloud computing add to the appeal of developing novel wearable devices which can acquire useful clinical information and bioscientists to formulate and test clinical hypotheses using health-related data which were previously impossible to obtain. My interest in neuroinformatics, data science, physics and applied mathematics also drives my interest in collaborating with biomedical scientists to monitor patients via wearable devices, to use multivariate health data sets for quantifying and preventing disease evolution and to develop new approaches for improving clinical outcome in clinical populations.

  
  
• Where do you work?

  University of Southern California

  
  
• Expertise

  1. biophysical electrodynamics
  2. digital signal processing
  3. graph/network theory
  4. machine learning
  5. multivariate statistical analysis
  6. nonlinear dynamics
  7. partial differential equations
  8. pattern recognition
  9. scientific visualization

  
  
• ORCiD

  0000-0002-9254-9388

  
  
• Twitter

  (not set)

  
  
• Receive Email Updates

  Yes, send me emails