Leonard Dieguez

Leonard specializes in software, hardware and machine learning applications for signal processing and digital communications. Leonard has developed machine learning methods for improving peptide docking performance as well as classifying constellation symbols in quadrature amplitude modulated waveforms. Leonard has over 30 years of experience leading commercial product development at companies including Kratos, L3 Harris, General Atomics, Altera (now Intel) and Xilinx. Leonard holds a BS in Electrical Engineering from University of South Florida.