Philip Brisk

Professor, University of California, Riverside

Dr. Brisk's research uses machine learning and data mining to solve problems in computer systems research and other applied areas of science. He also focuses on efficient implementing machine learning and data mining to make them run as fast as possible, often using hardware accelerator technologies such as multi-core CPUs, GPUs, FPGAs, and TPUs. He also does a lot of embedded systems work, especially focusing on the design and optimization of scientific instruments used in biological research.


  • Machine Learning
  • Data Mining
  • Computer Systems
  • Applied Science