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Postdoctoral Fellows

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Dr. Matthew Bachman

Dr. Cendri Hutcherson

Dr. Matthew Bachman is a postdoctoral fellow working with Dr. Cendri Hutcherson. His research primarily investigates how attention can modulate decision making and other cognitive processes. He pursues these research questions using a variety of tools, including EEG/ERP, fMRI, eye tracking, and computational modeling.

Keywords:

decision making, attention, EEG, fMRI, eye-tracking, neuroimaging

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Dr. Fred Duong

Dr. Jenny Stellar

Dr. Fred Duong is a postdoctoral fellow working with Dr. Jennifer Stellar. His research centers on emotions, morality, and political intergroup relations. Specifically, he investigates the meaning and measurement of empathy, cross-partisan conversations, and prosocial consequences of gratitude. Fred earned his master's degree from New York University and completed his PhD from Northeastern University.

Keywords:

behavior, decision-making, empathy, emotions, gratitude, morality, prosociality

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Dr. Francine Karmali

Dr. Elizabeth Page-Gould

Dr. Francine Karmali is SSHRC funded postdoctoral fellow at University of Toronto, St.George Campus, also working with the Engendering Success in STEM research consortium. Dr. Karmali received her PhD from York University, working with Dr. Kerry Kawakami. Trained in Social-Cognition, Dr. Karmali uses a multi-method approach to investigate intergroup relations and the processes by which social categorization forms and maintains biases in how we think, feel, and behave towards others, especially equity-seeking groups. For example, Dr. Karmali has investigated how the race of a person can impact other people's interpretations of their nonverbal behavior, or how witnesses respond to acts of bias against them.

Keywords:

Social Cognition, Person Perception, Nonverbal Behaviour, Diversity And Equity, Psychophysiology

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Dr. Jacklyn Koyama

Dr. Elizabeth Page-Gould

Dr. Jacklyn Koyama is a post-doctoral fellow with UofT’s Data Science Institute. In her current role, she is using machine learning as a novel analysis tool to address questions about psychophysiological experiences of both social stress, and familiarity-based memory. In particular, she uses machine learning to identify specific stress and memory-based experiences using heart rate variability data, with a focus on developing analysis tools that can be integrated with existing theory and research in social and neuro-psychophysiology. Her research interests also cover ideological intergroup dynamics and social experiences of women in science, technology, engineering and math (STEM) fields.

Keywords:

machine learning, psychophysiology, ideology, intergroup dynamics, gender

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Dr. Hayley A. Liebenow

Dr. Nick Rule

Hayley Liebenow is currently a postdoctoral fellow in the SPCL at the University of Toronto. She earned her Ph.D. and M.A. degrees at the University of North Carolina at Greensboro, and her B.A. at Wellesley College. Dr. Liebenow's research investigates how prejudice and stereotypes form through person perception. In particular, her studies focus on how gender and racial stereotypes manifest through face perception and how this affects marginalized groups' outcomes in the workplace and beyond. When she has a moment of free time, she can be found at the skate park, your local Toronto coffee shop, or catering to her cat (Plum)'s every whim.

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Dr. Brett Mercier

Dr. Yoel Inbar

Dr. Brett Mercier is a SSHRC funded postdoctoral fellow working with Dr. Yoel Inbar. His research applies social psychological theories to current social issues. He has studied public reactions to mass shootings, why people support or oppose economic inequality, how people misunderstand their political opponents, and why people believe in God. Brett is a proponent of open science.

Keywords:

Politics, Religion, Heuristics, Biases, Decision-making, Open Science

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