Mark Hereld is a member of the research staff in the Mathematics and Computer Science and a Senior Fellow of the Computation Institute with a joint appointment at the University of Chicago.
Hereld's work in understanding simulation on future computer architectures currently focuses on development and characterization of large neural network models of neocortex, including research in parallel programming models and application performance analysis. He is also a principal architect of distributed analysis environments that support collaborative creation of annotated data repositories of multimodal data (audio, video, image, text, numerical) based on web and grid services.
- Applied image analysis including computational approaches to advanced microscopy, rapid digitization of large collections of curated objects, and geometric calibration of tiled projection display systems.
- Advanced infrastructures for computational science including display technology, scientific visualization, active spaces, and collaborative environments -- activities that advance machine vision, tiled displays, human-computer interface, and visual data analysis