Kristopher Patten

Organization/Affiliation (no abbreviation): 
Arizona State University - College of Health Solutions; Science of Art, Music and Brain Activity Group
Tempe, AZ 85142
United States
Short biography and a description of your interest(s) in music and health: 
I'm a member of the Speech and Hearing Faculty at ASU's College of Health Solutions where I teach, among other things, anatomy, psycholinguistics, and statistics. I'm also working with the interdisciplinary Science of Art, Music, and Brain Activity (SAMBA) research group/think tank at ASU where we I'm attempting to answer some of the most intriguing questions about auditory perception; is localization a discrete or distributed process, how are regular people different from talented musicians and how are both different from musicians with perfect pitch, what information do we use to create rich auditory scenes, and more. I'm also involved with tetrachromacy and visual art perception research.

I've also consulted with outside companies in the realm of experimental design, data science, data mining, and user experience through my company, Yggdrasil Data Solutions. In that role, I bring over 8 years of experience designing well-controlled research studies into the corporate and industry worlds and use my command of statistical methods - including two I've developed myself - to tease out information that isn't always visible to the untrained eye.

My pet areas of interest are auditory perception, cognitive science, statistics, and multidimensional scaling. My Masters and Doctoral theses focused on timbre (specifically spectral envelope) and its contribution to auditory scene analysis. I've also investigated the statistical patterns in human thought and foraging behavior. Lastly, I've developed a program to bring multidimensional scaling newfound life and scientific utility by working in a statistical analysis component to its already useful visualization and dimension reduction procedures.
Collaboration Interests: 
I'd like to collaborate with other timbre researchers. I'm also interested in applying dimension reduction algorithms, dynamical analysis techniques, and other non-traditional analyses to music, behavioral data, and imaging data.
timbre, statistics, analysis, acoustics