Associate Professor, Faculty of Science - Psychology Director, Attention Perception and Performance Lab (APPLab) University of Alberta
Edmonton, AB
Email: kmathews@ualberta.ca
Phone: (780) 492-2662
Office: P-455 Bio Science - Psychology Wing
This experimental grid tests the upcoming “app arcade” catalogue design using the three most recent additions from the list above. Each card loads from structured data so it can expand into its own React/Vite experience later.
Long Form Catalogue
Feature-length essays, zines, and interactive writing experiments drawn from dedicated repositories.
Independent Sites & Apps
Standalone experiences like EEGEdu, the Juventus club site, and other lab or community projects.
About
I am an Associate Professor of Psychology in the Faculty of Science's Department of Psychology at the University of Alberta. I was previously a Postdoctoral Fellow at the Beckman Institute at the University of Illinois at Urbana-Champaign and in the Department of Psychology at the University of Alberta. I received my PhD in 2011 from the Brain and Cognition Division of the Department of Psychology at the University of Illinois in the Cognitive Neuroimaging Lab of Drs. Monica Fabiani and Gabriele Gratton, with the support of a Post Graduate Scholarship from the Natural Science and Engineering Research Council of Canada. I received my B.A. in Psychology (Honours; First in Graduating Class) from the University of Victoria in 2007, completing my honours thesis in the Learning and Cognitive Control Lab under the supervision of Dr. Clay Holroyd.
Academic Research and Leadership
As Director of the Attention Perception and Performance Lab (APPLab) in the Department of Psychology at the University of Alberta, I lead research in cognitive neuroscience focusing on visual awareness, attention, learning, and memory. Our lab uses cutting-edge approaches combining human behavioral studies, neuroimaging, and electrophysiological recording. We're particularly focused on developing portable, accessible brain-sensing technologies and studying attention in real-world environments. Our work spans from basic research on neural oscillations to applied projects in areas like stroke diagnosis and sports performance.
Industry and Consulting
Beyond academia, I engage in independent consulting work, applying neuroscience and cognitive psychology principles to real-world challenges. My expertise in portable brain-sensing technology and human performance optimization has led to collaborations with various industries and organizations.
Personal Life and Community Involvement
Outside of my academic work, I'm actively involved in the Edmonton community, particularly in youth sports development. I serve as a soccer coach for the Juventus Soccer Club, working with the 2013 Boys T3 team. I'm also an active player myself in the Edmonton and District Soccer Association, combining my passion for sports with community engagement.
I share my life with my wife, Dr. Claire Scavuzzo, who is also at the University of Alberta. Together, we balance our academic careers with family life and various projects. Our children are actively involved in technology and sports - my son is developing his coding skills (visible on his GitHub) and shares his interests through his YouTube channel, while also playing soccer with the Juventus club.
This combination of academic research, industry application, and community involvement allows me to pursue my goal of making neuroscience more accessible and applicable to everyday life, while maintaining a rich and balanced personal life.
Research: Pervasive Brain Sensing for Everyone
A Systematic Vision: From Lab to Everyday Life
The Attention Perception and Performance Lab follows a strategic four-stage approach to democratize neuroscience through pervasive, accessible brain sensing technology. Our goal: develop robust, portable systems that can help everyone understand and optimize their cognitive performance in real-world environments.
Stage 1: Advanced Measurement Devices
We engineer portable, high-quality neural recording systems that work beyond traditional lab constraints. Our portable EEG platforms enable 3-minute stroke diagnosis, while projects like flexible neural interfaces and MRI-compatible epidermal electronics push toward seamless, comfortable brain monitoring. Future directions: Developing ultra-miniaturized, wireless neural dust and breathable electronic tattoos for continuous, imperceptible brain monitoring.
Stage 2: Accessible Software Ecosystems
We create open-source software infrastructure that makes brain recording as simple as using a smartphone. Tools like muse-js (Web Bluetooth EEG), EEGEdu (interactive brain playground), and comprehensive analysis libraries (DeepEEG, fooof, pyoptical) democratize access to neurotechnology. Future directions: Real-time AI-powered brain state decoding and personalized cognitive optimization recommendations through everyday devices.
Stage 3: Real-World Validation
We validate neuroscience findings in natural environments—measuring brain activity during cycling through traffic, skateboarding, basketball shooting (FreethrowEEG), and exploring how environmental factors modulate neural responses. This work reveals which lab findings translate to real life and which require revision. Future directions: Large-scale ecological studies using crowd-sourced brain data to understand cognitive performance across diverse populations and environments.
Stage 4: Translational Applications
We deploy validated technologies across four domains: Research (open-source tools, reproducible workflows), Education (interactive learning platforms, programming courses), Consumer (creative brain-art interfaces, physiological monitoring via webcamHR), and Clinical (emergency stroke assessment, post-stroke rehabilitation). Projects span from Indigenous language preservation (nehiyoMTB) to creative fabrication (voice2print, IllumiStack). Future directions: Personalized cognitive enhancement, predictive mental health monitoring, and brain-responsive smart environments.
Our newest work explores whether machines can understand and generate visual illusions (visual-illusions, cross_colour), opening pathways to AI-human cognitive collaboration. We're developing computational methods that combine multivariate pattern analysis with web technologies to create the next generation of brain-computer interfaces that enhance rather than replace human cognition.
Long Form Writing
Essays and extended analyses exploring the intersection of science, society, and innovation.
The Exile Engine: How Society Manufactures Genius Through Outcasting (2025) - An analysis of the exile-innovation pattern from Moses to Steve Mann, examining why society's 95% rejection rate for radical ideas isn't broken—it's the feature that prevents system collapse. 4,967 words
Fungio Ergo Sum - Interactive exploration of consciousness, identity, and existence through the lens of fungal networks and distributed cognition.
Recent Projects
homePage - Main homepage for kylemathewson.com and helper scripts
IllumiStack - 3d Printing with Stacked colour layers web app
NeuroimagingClass - Class materials for 2025 403 - Neuroimaging and Neurostim
Muse_LSL_Environments - A set of python environments for running MUSE LSL experiments, record data, visualize, and send markers, using Alex B. muse-lsl
MoralWordEEG - Experiment, Materials, and Analysis code for Moral Word EEG project
muse-js - Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth) (contributor to original)
HNN-AEF - Data and code to replicate the main findings associated with the manuscript “Neural Mechanisms Underlying Human Auditory Evoked Responses Revealed by Human Neocortical Neurosolver”. (contributor to original)
eeg-notebooks - A collection of classic EEG experiments implemented with Python and Jupyter notebooks (contributor to original)
mne-python - MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python (35 commits ahead)
pycovid - Python package to easily access the most updated Coronavirus data using Python/PIP (contributor to original, 9 commits ahead)
react-game-kit - Component library for making games with React & React Native (9 commits ahead)
muse-lsl - Python script to stream EEG data from the muse 2016 headset (1 commits ahead)
ml4a-guides - practical guides, tutorials, and code samples for ml4a (contributor to original, 2 commits ahead)
visual-illusions - Can we teach a machine to classify visual illusions and generate new ones? (17 commits ahead)
EEG-Classification - This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data. (18 commits ahead)
face2face-demo - pix2pix demo that learns from facial landmarks and translates this into a face (1 commits ahead)
PSYCH 275 - Brain and Behavior: An introduction to brain mechanisms involved in sensation, perception, movement, motivation, learning, and cognition, as studied in both humans and lower animals. [YouTube Playlist]
PSYCH 375 - Cognitive Neuroscience: An advanced study of cognitive processes from a neuroscientific perspective, examining how the brain supports functions such as attention, perception, memory, and executive control. [YouTube Playlist 1] | [YouTube Playlist 2]
PSYCH 396, 398, 496, 498 - Independent Research Projects: Supervised independent research projects for undergraduate and graduate students.
Supervision of Masters and Doctoral Students' Theses: Mentoring graduate students through their research projects and thesis completion.
PSYCH 403/505 - Recent Advances in Experimental Psychology / Conference Course in Psychology: Advanced concepts and theories in experimental psychology and emerging research areas. I have taught five versions of this course in various years:
Computer Programming for Psychology 1: Experiment Creation, Presentation, Data Collection
Computer Programming for Psychology 2: Data Analysis, Statistics, and Visualization
Consciousness: Recent Advances and Theories
Advanced Cognitive Neuroscience
Brain Sensing and Stimulation
Course Content Creation Projects:
EEGEdu - Interactive brain playground for learning
Associate Professor (2019-present)
Department of Psychology, Faculty of Science, University of Alberta Director, Attention Perception and Performance Lab (APPLab)
Research focus: Cognitive neuroscience, portable EEG systems, real-world brain monitoring
Assistant Professor (2013-2019)
Department of Psychology, Faculty of Science, University of Alberta Director, Attention Perception and Performance Lab (APPLab)
Established lab, developed portable brain sensing technologies, secured research funding
Postdoctoral Fellow (2011-2013)
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign Supervisors: Drs. Monica Fabiani and Gabriele Gratton
Research on neural oscillations, optical brain imaging, flexible electronics
Postdoctoral Fellow (2011)
Department of Psychology, University of Alberta Supervisor: Dr. Anthony Singhal
Transition position focusing on attention and perception research
Industry & Consulting Experience
Senior Software Engineer (May 2023 - Oct 2023)
Neurosity, San Francisco Bay Area (Remote) 6 months, Permanent Full-time
Skills: Data Science, TypeScript, and 15+ additional technical skills
Focus on neurotechnology software development and brain-computer interface applications
Chief Scientist (Jun 2021 - May 2023)
Blueberry, Toronto, Ontario, Canada 2 years
Skills: Data Science, TypeScript, and 5+ additional skills
Leadership role in scientific research and technology development
Scientific Advisor (Jul 2020 - Jun 2021)
Blueberry, Toronto, Ontario, Canada 1 year
Skills: Neuroscience
Advisory role providing neuroscience expertise and strategic guidance
Independent Consultant (2013-present)
Neuroscience and Cognitive Psychology Applications Applied research consulting for various industries and organizations
Expertise in portable brain-sensing technology and human performance optimization
Industry Collaborations Various projects involving neurotechnology development and validation
Work with companies developing portable EEG systems, brain-computer interfaces, and consumer neurotechnology applications
Community & Leadership
Soccer Coach (2010s-present)
Juventus Soccer Club, Edmonton 2013 Boys T3 team coaching and youth development
Active player in Edmonton and District Soccer Association
Open Source Project Leadership GitHub: @kylemath
Lead developer on EEGEdu, muse-js, DeepEEG, and numerous neuroscience tools
Active contributor to democratizing neuroscience through accessible technology
Last updated: January 2025 | Office: P-455 Bio Science - Psychology Wing | Contact