Daniel Russakoff

Daniel Russakoff is the founder of Voxeleron, a company that specializes in 3D medical image analysis. Prior to starting Voxeleron, Russakoff worked as the Chief Scientist for Fujifilm Medical Systems, where they led the 3D medical image analysis research and development in the United States.

At Fujifilm, Russakoff was responsible for managing the algorithm development for CT and mammography R&D, which resulted in several 3D image analysis projects. Daniel also collaborated with Fujifilm’s Tokyo labs to help allocate resources for development projects and served as a liaison between U.S. and Japanese operations to facilitate the design control and regulatory documentation of U.S. algorithms.

Russakoff’s most notable accomplishments at Fujifilm include designing and implementing a support vector machine system with an automated distributed, parallel-processing training method for general pattern analysis tasks, as well as a generalized statistical shape modeling system for atlas generation and model-based segmentation of arbitrary shapes. Daniel also served as the technical lead for the design and implementation of expert systems for feature-based pattern recognition of malignant tumors.

In 2006, Russakoff designed and oversaw the implementation of a distributed computer cluster for batch testing of algorithms using Condor. The cluster sped up regression testing by more than 10x and has performed more than 59 compute years of processing.

Daniel Russakoff has a Ph.D. in Computer Science from Stanford University and an A.B. in Solid Earth Geophysics from Harvard University.