Matthew (Matt) Black’s Ph.D. dissertation at the University of Southern California (USC), Automatic Quantification and Prediction of Human Subjective Judgments in Behavioral Signal Processing, tackled societally-significant problems in education, family studies, and health that were traditionally not addressed in engineering and computer science research. Through the development of state-of-the-art signal processing and machine learning algorithms, Matt’s thesis was a major catalyst to the emergence of Behavioral Signal Processing (BSP), a field centered on providing technological solutions to real-world problems by modeling, predicting, and interpreting abstract human behaviors. With the dream of getting this technology out into the real world, Behavioral Informatix was born. With over 10 years of experience in R&D, Matt’s passion lies in creating software solutions that serve the greater good and positively impact people. He is the Chief Executive Officer and co-founder of Behavioral Informatix.