The DataLab at UC Irvine
The primary theme of our research is that of modeling structure in data. Our research focuses on mathematical and probabilistic models for learning from data, combined with a variety of specific applications to (typically) large data sets. We collaborate on data analysis projects with specialists from many different disciplines, including astronomers, neurologists, engineers, chemists, geologists, biologists, anthropologists, physicists, and atmospheric scientists. The common theme is computationally-intensive data analysis allied to the principles of probabilistic inference. Our approach incorporates ideas from statistical pattern recognition, applied statistics, data mining, machine learning, theoretical computer science, image and signal analysis, and information theory.
Current and recent research in the DataLab has been supported by the National Science Foundation, the National Institute of Standards and Technology, the National Institutes of Health, the Jet Propulsion Laboratory/NASA, Lawrence Livermore National Laboratories, the University of California MICRO program, the UCI Cancer Center, Microsoft Research, IBM Research, and several research agreements with private companies. We are also participants in the newly-created California Institute for Telecommunications and Information Technology.