Assistant Professor, Electrical and Computer Engineering
2010 Diploma (M.S. equivalent), University of Ulm, Germany
2014 Ph.D. in Electrical Engineering, ETH Zurich, Switzerland
Dr. Heckel is interested in developing algorithms with performance guarantees for machine learning, signal processing, statistics and data analysis. Application areas include learning from data, DNA data storage and imaging.
Reinhard Heckel is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University. Prior to that, he was a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He spent a year in the Cognitive Computing & Computational Sciences Department at IBM Research, Zurich. He completed my Ph.D. in August 2014 at ETH Zurich, Department of Information Technology and Electrical Engineering, advised by Helmut Bölcskei. In Fall 2013, he was a visiting Ph.D. student in the Statistics Department of Stanford University. He is interested in various topics in machine learning, mathematical signal processing, sparse signal recovery, and computational biology.