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Hello!
I am a researcher focusing on human sensorimotor learning and human-computer interaction in virtual environments at The Sensorimotor Control Lab (SMCL) at York University in Toronto, Ontario, Canada, under the supervision of Dr. Denise Henriques. Our lab is part of The Centre for Vision Research, and VISTA, large working groups of multidisciplinary vision-related researchers at York University. I am also involved in the leadership teams for both groups.
I currently lead the XR research program at SMCL. Here we study human motor behaviour when using virtual tools in virtual environments. We also design rigorous and itterable experimental frameworks that are intuitive to use for both experimenters and participants.
I am personally interested in the interplay between explicit (conscious) and implicit (non-conscious) neural processes when learning in these virtual environments. I am also interested in brain-inspired machine learning models and am a visiting researcher at the Group for Theoretical Neuroscience - The Philipp University of Marburg exploring this topic.
A framework and set of tools for designing, creating and conducting visuomotor learning experiments in immersive virtual reality environments. Once created, experiments can be run on various platforms (including head mounted displays and standard computers screens). Used by the Sensorimotor Control Lab.
Methodologies used: Unity (C#), storyboarding, human-focused design, hardware and software prototyping, usability testing, experiment piloting.
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Examples of available tasks within the framework (this is not exhaustive).
Transporting objects in VR
Gaze-based localization of unseen limbs
Simple target acquisition task
Target hitting task
An intuitive tool for visualizing movements from various lab setups and experiments. Includes useful transformations of the data and the ability to label key time points. Used by sensorimotor control lab.
Methodologies used: R (shiny), usability testing, machine learning.
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Tools to assist experimenters to easily create experiments. The tool below allows for fast creation or itteration of experiments through a graphical user interface.
Methodologies used: Unity (C#), storyboarding, human-focused design, usability testing
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Data and code used for data exploration, analysis and figure-creation for all first-authored research articles hosted on Open Science Framework.
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Research and Domain Knowledge | Sensation, Perception, Human Motor Learning, Machine Learning, Immersive Virtual Reality |
Software | Python, R, Unity (C#), Inkscape, Poser Pro |
Teaching | Sensation and Motor Learning, Human Physiology, Electrophysiological and Biological Data Collection |
If you have any inquiries, please don't hesitate to contact me.