John Matthew Tennant

Data Scientist, PhD Student, Developer, Musician


Contact me at johnmatthewtennant@gmail.com.


I am an Educational Data Scientist at Prodigy Education, specializing in student experience.

I am also in the 4th year of my PhD at the University of Toronto studying Psychology under Dr. William Cunningham and Dr. Jordan B. Peterson.

My research interests include machine learning, psychometrics, technology-assisted performance enhancement, human-computer interfacing, and music cognition.

I design and code my own music-related software and I am working on two music visualizers and a synthesizer.

I write and produce electronic music. I’m particularly interested in the mathematics of musical harmony and timbre.


Consulting Rates & Booking

I offer consulting on data science, psychology, statistics, software design, music theory, and music visualization, but I am happy to talk about anything.

Send me an email to book a call. My rate is $2/min.


Current Projects

Essay App

I am involved in product design, backend coding, UI/UX design, and research for a word processor that helps students edit their writing sentence-by-sentence.

PhD Research

I am developing an interpersonal biofeedback technology which uses music-like stimuli to convey a user’s physiological information to another observer.

I am investigating how interpersonal biofeedback may facilitate empathy and interpersonal entrainment. Read more here.

Tennant Music Visualizer

The Tennant Music Visualizer (TMV) is an innovative approach to the visual representation of music.

It takes advantage of intuitive crossmodal correspondences between visual and auditory perception which have been shown to enhance the speed and precision of perception.

Both music visualizers take inspiration from the field of Cymatics, which seeks to make sound visible through physical media. Cymatics uses the phenomenon of resonance to sounds into 2D and 3D spatial patterns which lend themselves to visual perception.

These techniques can also be applied more broadly in data visualization. They take advantage of many of the strengths of our visual processing to allow for high-bandwidth decoding of semi-periodic data. (EEG, or other types of 1D data)

You can see videos of the visualizer on my YouTube channel. To read more about the principles behind the Tennant Music Visualizers, you can take a look at my paper on crossmodal representations of music.

Are you interested in my work?
Contact me at johnmatthewtennant@gmail.com.

Portfolio

Cymatic Music Visualizer

XY Oscilloscope Music Visualizer

Compositions

Academic Research Papers

Interpersonal Resonance: Developing Interpersonal Biofeedback for the Promotion of Empathy and Social Entrainment

It’s Not You, It’s Me: Sex, Context, and Individual Differences in Experimental Partner Choice

Crossmodal Representations of Music: A Sensory Supplementation Approach


Do you have any questions?
Contact me at johnmatthewtennant@gmail.com.




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