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ABOUT

I am a psychologist skilled in assessment, therapy, research and data science. I have a passion for helping children and students with special needs achieve their goals.

 

I run a company called EmotePlay Apps, and our mandate is to support social development using technology. Big Break: Act & Sing Game supports emotion learning through acting and singing, targeted at children with autism. 

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My research background is in music neuroscience. I am fascinated by the potential of music to support communication, movement, and ultimately independence in patient populations. I have examined the role of music and movement in emotional responsiveness, gait, and memory, using physiological techniques as well as EEG and fMRI. I have worked with several special needs groups including individuals with brain damage, depression, autism, Parkinson’s disease, and Huntington’s disease, as well as with healthy individuals of all ages.

 

I am also a trained data scientist skilled at machine learning and big data management using SQL, Python including Pandas, Hadoop, Spark, and more, as well as visualization using Matplotlib and Seaborn.

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In my teaching I focus on catering to multiple learning modes and supporting students of varying needs. I enjoy data analysis and learning cutting edge statistical methodologies and sharing my knowledge to inspire others.

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EMOTE PLAY APPS

Big Break: Act and Sing Game

With Frank Russo and Dan Sampson, our social venture was formed based on my PhD research to support emotion learning in children. Big Break uses acting and singing to allow children to practice expressing and identifying emotions on their iPad for points. Created in collaboration with Ryerson University and the Geneva Centre for Autism. Thanks to funding from the FedDev Social Venture Fellowship and Telus Community Fund.

MY SKILL SET

Data on a Touch Pad
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Child at Psychologist
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Music App

DATA SCIENCE

Machine Learning & Big Data

Skilled data scientist with experience in machine learning, big data management and visualization. Proficient in SQL, Python including Pandas, Hadoop, Spark, Tableau, Matplotlib, and Seaborn. 

RESEARCH

Clinical Music Neuroscience

10 publications with 479 citations
Proficient in coding experiments using E-Prime, Presentation, Matlab, LabView

ASSESSMENT

Psychometry

Experienced with adults and children with autism, ADHD, brain injuries, depression, anxiety, Parkinson's, and hearing impairment 
Trained to administer many psychological assessment scales and interviews

TEACHING

Professor, Lecturer, Teaching Assistant, Consultant, Public Speaker

Subjects taught: Statistics, Perspectives in Psychology, Introduction to Psychology, Music Cognition, Mirror Neurons Seminar

APP DEVELOPMENT

Emote Play Apps Inc.

Proficient in objective-c and swift programming languages, with a 5-star-rated iOS app.

ACADEMICS

2023

Data Science Certificate Program, University of Waterloo Ontario

Projects: Predicting Employee Attrition; Predicting changes in popular music features during and since the covid-19 pandemic

2015-2018

POSTDOCTORAL FELLOW, BRAIN AND MIND INSTITUTE

Projects: Investigating the role of beat perception in music-assisted gait procedures; Investigating the power of music to support memory in aging and Alzheimer’s populations.

2011-2015

PHD, PSYCHOLOGY, RYERSON UNIVERSITY

PhD dissertation: The role of the mirror neuron system in the bottom-up and top-down perception of human action. (with Dr. Frank Russo)

 

Offered $177,000 in research awards from government and industry sources

 

Nominated for C. Ravi Ravindran award for doctoral thesis

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2009-2011

MA, PSYCHOLOGY, RYERSON UNIVERSITY

Master's thesis: Dance to the Music: The Effects of Moving on Emotional Responsiveness (with Dr. Frank Russo)

 

Awarded Canadian Psychological Association’s Certificate of Academic Excellence for Master’s thesis 

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2003-2008

BSC, UNIVERSITY OF TORONTO

Psychology Research Specialist

PUBLICATIONS

Ready, E. A., McGarry, L. M., Rinchon, C., Holmes, J. D., & Grahn, J. A. (2019). Beat perception ability and instructions to synchronize influence gait when walking to music-based auditory cues. Gait & Posture, 68, 555-561.

Oxenham, A. J., Honing, H., Bouwer, F., McAdams, S., Siedenburg, K., Russo, F. A., McGarry, L. M., … & Weiss, M. W. (2019). Foundations in Music Psychology: Theory and Research. MIT Press.

Livingstone, S. R., Vezer, E.,  McGarry, L.M., Lang, A. E., & Russo, F. A. (2016). Deficits in the mimicry of facial expressions in Parkinson’s Disease. Frontiers in psychology, 7, 780.

McGarry, L.M. (2015). The Role Of The Mirror Neuron System In Bottom-Up And Top-Down Perception Of Human Action [dissertation abstract]. Psychomusicology: Music, Mind and Brain.

McGarry, L.M., Pineda, J., & Russo, F. (2015). The role of the extended MNS in emotional and nonemotional judgments of human song. Cognitive, Affective and Behavioral Neuroscience, 15(1), 32-44.

McGarry, L.M., Russo, F., Schalles, M., and Pineda, J. (2012).  Audiovisual integration of the mu wave.  Experimental Brain Research, 218(4), 527-538.

Talmi, D., and McGarry, L.M. (2012).  Accounting for Immediate Emotional Memory Enhancement.  Journal of Memory and Language, 66(1), 93-108.

McGarry, L.M., and Russo, F. (2011).  Mirroring in Dance/Movement Therapy: Potential mechanisms behind empathy enhancement.  The Arts in Psychotherapy, 38(3), 178-184.

Talmi, D., Luk, B., McGarry, L.M., and Moscovitch, M. (2007).  The contribution of relatedness and distinctiveness to emotionally enhanced memory.  Journal of Memory and Language, 56(4), 555-574.

LET’S CONNECT

Toronto, Ontario

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