Moriah Sokolowski
Assistant Professor
Director, NeuroIDEA Lab
Faculty of Arts
Department of Psychology
Toronto, Ontario
hm.sokolowski@torontomu.ca
Office:
(416) 979-5000 ext. 552267
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Bio/Research
Dr. Moriah Sokolowski an Assistant Professor in the Department of Psychology at Toronto Metropolitan University. She also holds an adjunct scientist appointment at the Rotman Research Institute at Baycrest Hospital. She completed her MSc (2015) and PhD (2019) in Psychology in the Cognitive, Devel...
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Bio/Research
Dr. Moriah Sokolowski an Assistant Professor in the Department of Psychology at Toronto Metropolitan University. She also holds an adjunct scientist appointment at the Rotman Research Institute at Baycrest Hospital. She completed her MSc (2015) and PhD (2019) in Psychology in the Cognitive, Developmental, and Brain Sciences area at Western University. Following this, she was a Banting Postdoctoral Fellow at the Rotman Research Institute at Baycrest Hospital from January 2020 to June 2023.
Dr. Sokolowski’s research program converges around one fundamental question: how does the developing mind support complex learning? Because mathematical thinking is a learned skill that builds on core competencies and previously acquired knowledge, it serves as an ideal model to explore how we learn complex concepts. Dr. Sokolowski explores how the learning brain develops using diverse methodologies, including behavioural and brain-imaging techniques, in children, adolescents and adults. In addition to conducting basic science, she is passionate about linking her findings to real-world outcomes to support individual wellbeing and population-level innovation. Thus, in a related stream of research, she explores how individual differences in core competencies (e.g., visual imagery, spatial thinking, memory) relate to real-world outcomes (e.g., academic achievement and occupational success). Two key goals of Dr. Sokolowski’s research are to 1) uncover basic building blocks of mathematical competence and 2) identify early cognitive, emotional and neural markers that predict which students are likely to select - and succeed - in science, technology, engineering and mathematical (STEM) disciplines.
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Dr. Sokolowski’s research program converges around one fundamental question: how does the developing mind support complex learning? Because mathematical thinking is a learned skill that builds on core competencies and previously acquired knowledge, it serves as an ideal model to explore how we learn complex concepts. Dr. Sokolowski explores how the learning brain develops using diverse methodologies, including behavioural and brain-imaging techniques, in children, adolescents and adults. In addition to conducting basic science, she is passionate about linking her findings to real-world outcomes to support individual wellbeing and population-level innovation. Thus, in a related stream of research, she explores how individual differences in core competencies (e.g., visual imagery, spatial thinking, memory) relate to real-world outcomes (e.g., academic achievement and occupational success). Two key goals of Dr. Sokolowski’s research are to 1) uncover basic building blocks of mathematical competence and 2) identify early cognitive, emotional and neural markers that predict which students are likely to select - and succeed - in science, technology, engineering and mathematical (STEM) disciplines.
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