Daniel Freedman


Professor Daniel Freedman is Principal Applied Researcher at Microsoft Research - Advanced Technology Labs Israel.  His research interests are in the areas of computer vision, machine learning, and computational topology and geometry.  At Microsoft, Professor Freedman has worked on problems and technologies at the intersection of 3D sensing, signal processing, and machine learning. His research uses a wide variety of techniques from mathematics, including algebraic topology, partial differential equations, and combinatorial optimization.

Prior to Microsoft, Professor Freedman moved between academia and industrial research, including a 9 year stint at RPI as Assistant Professor, and then Associate Professor (with tenure) of Computer Science.

For more details, please see the full CV.