Daniel Bone received his PhD in Electrical Engineering at the USC Viterbi School of Engineering. His research concerned human-centered signal processing and machine learning with an emphasis on developing engineering techniques and systems to characterize and eventually treat developmental disorders such as Autism (which has a high prevalence of 1 in 68). He worked with Dr. Shrikanth Narayanan in the interdisciplinary Signal Analysis and Interpretation Lab (SAIL) at USC.
He received Bachelor of Science degrees in Electrical Engineering and Computer Engineering from the University of Missouri-Columbia in 2009, and a Master of Science degree in Electrical Engineering from USC in 2011. He was an NSF GK-12 Body Engineering Fellow during 2012-2013.
Danny has first-authored five journal papers, nine conference papers, and one book chapter. He has led and been a part of two teams that won international engineering competitions (Interspeech 2011, 2015). His work has been featured on KPCC off-ramp, SFARI.org, and USC media.
Dr. Bone is a Postdoctoral Research Scholar in the Signal Analysis and Interpretation Laboratory at USC.