DSP alum Christoph Studer (postdoc 2010-2012, Assistant Professor at Cornell University) has received an NSF CAREER award for his project "Hardware Accelerated Bayesian Inference via Approximate Message Passing: A Bottom-Up Approach." The project will bridge the ever-growing gap between theory and practice in Bayesian signal processing using a holistic approach that spans the circuit design, algorithm, and theory levels. In addition to improving the efficiency and quality of Bayesian inference in real-time applications, the project will advance future wireless systems through collaboration with the telecommunications industry, along with the development of new tools that are accessible to experts on all levels.