Chris is part of the Aerial 5G wireless team at Nvidia. We are creating the future of 5G wireless and combining it with the power of Nvidia AI technology to make Industry 4.0 a reality.His research interests are in the areas of 5G/6G, hardware architectures for machine learning, GPU architecture, programming models for machine learning accelerators, software defined radio (SDR), forward error correction, modem design, FPGA signal processing, wireless systems, massive MIMO, hardware architectures for real-time signal processing, fast algorithms, multirate filters, DSP design flows and programming models for reconfigurable hardware.His signal processing background includes expertize in the following areas: machine learning, modem architecture, synchronization for wireless systems, carrier recovery, timing recovery, adaptive equalizers, channel coding, computer arithmetic, turbo codes and LDPC. In addition to his experience in the wireless domain Chris has performed signal processing work in the area of speech and imaging radar (inverse synthetic aperture radar (ISAR)) signal processing.Chris has extensive experience programming in Matlab, Simulink, C (including fixed-point modeling of complex DSP designs), High-level synthesis, VHDL, FPGA design and programming and vector digital signal processors.Chris has been an advisor to the National Science Foundation in the area of Application-Specific Hardware/Software, and FPGA-based and Reconfigurable Systems and has advised the US Defense Sciences Research Agency - an advisory arm of DARPA. He holds the position of adjunct professor at Santa Clara University.Chris has in excess of 200 publications and has been an invited speaker at many industry events. He holds over 70 patents.