Principal Research Scientist/Developer with extensive experience in the research, development, and standardization of video compression and processing technologies, 3D point cloud, mesh, and volumetric video compression techniques, machine learning, digital systems, and rapid prototyping.• Developed and implemented compression methods for streaming volumetric video/3D meshes for Unity's Metacast project, achieving significant reductions in bit rate.• Researched machine learning methods for collaborative intelligence, focusing on quantization and compression. This work yielded several published papers, patent applications, and transfer of technology to industry. Supervised and advised students and research interns as well.• Participant in several ISO/IEC (MPEG) and ITU-T multimedia standardization efforts including HEVC, HEVC screen content coding extensions, and the MPEG 3D point cloud compression standard. Experienced contributor and co-chair/co-editor for several calls for proposals, ad-hoc groups, and other standards-related activities• Experienced software and hardware developer, project leader, and software lead for multimedia-related projects including the development of successful software prototypes for real-time video streaming systems, hardware-based rapid-prototyping systems for video, HDTV decoder prototype, and implementations of several novel improvements to video and point cloud coding algorithms• Author and guest editor for several peer-reviewed conferences and journals• Skilled in creating intellectual property and writing patent applications• Senior Member IEEE and served on the IEEE Signal Processing Society Industrial Relations Committee• Software and hardware skills include C/C++, MATLAB, Perl, Python, MFC, TensorFlow, various libraries such as Boost, Eigen, OpenCV, PCL; Unity; digital design, microprocessors, FPGAs & PLDs, VHDL and related synthesis tools