Yinqi's Photo
Yinqi Huang
PhD Student in Cognitive Neuroscience
Virtual Navigation, Decision Making, Computation

My overarching goal is to investigate human memory in a naturalistic environment using computational models. I am a big fan of naturalistic stimuli because they contain rich and dynamic information, similar to what we receive in the real world. Read more about naturalistic stimuli in this notebook written by Dr. Luke Chang, Dr. Emily Finn, and Dr. Jeremy Manning.

Currently, I am studying the decision making in spatial navigation in a virtual environment, co-advised by Dr. Arne Ekstrom and Dr. Robert Wilson. Read more about why VR is naturalistic in my notes on Spatial Cognitive Map.

My undergraduate project on investigating the impact of time and event boundaries on episodic memory using movie stimuli, advised by Dr. Morgan Barense, was presented at Context and Episodic Memory Symposium and Lake Ontario Visionary Establishment.

Outside of the lab, I enjoy working with students at the intersection between cognitive psychology, neuroscience, and machine learning. I am the machine learning lead at the Neurotech University of Toronto for the summer semester of 2022.

If you are interested in my work, or want to do a student project with me, please feel free to email me.

Research Interests:
Human Brain Cartoon Human memory
Virtual Reality Cartoon Naturalistic stimuli
Machine Learning Cartoon Machine learning models
Education & Work:
University of Arizona Logo PhD in Psychology; Concentration: Cognition and Neural Systems
University of Arizona | 2022 - Present
Devhaus Technologies Logo Research Assistant: Recurrent Neural Network and Bayesian Knowledge Tracing
Devhaus Technologies | 2020 - 2022
University of Toronto Logo BSc in Psychology; Concentration: Cognitive Psychology
University of Toronto | 2016 - 2020
# developmental psychology; # AI-assisted learning Tracing Knowledge Mastery Through Time (Bayesian, Recurrent Neural Networks)
Funders: National Research Council of Canada Industrial Research Assistance Program (NRC IRAP), Scientific Research and Experimental Development Federal Program (SR&ED)
Company: Devhaus Technologies
May 2020 - Present
# cognitive psychology; # episodic memory Temporal Distance & Event Boundaries Affect Recall Richness
Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
Advisor: Dr. Morgan Barense
Sep 2019 - Dec 2020
# organizational psychology; To cope with stressors at the workplace and at home: ​phone use and its consequences​
Supervisors: Dr. Soo Min Toh, Dr. Xian Zhao
May - Aug 2019
# social psychology; # intergroup contact Contextual Cues Affect Retrieval of Implicit & Explicit Attitudes
Advisor: Dr. Elizabeth Page-Gould
Mar 2017 - Apr 2019
Face Perception: a Dual Process Model.
Journal of Undergraduate Life Sciences
Huang, Y. (under review).
Replicability of Two Classic Experiments in Social Psychology: Implicit Association Test and Imagined Contact.
Inkblot: Undergraduate Journal of Psychology, 9 , 38-46.
Huang, Y. (2020).
How do temporal context and event boundaries affect recall richness for Forrest Gump?
Context and Episodic Memory Symposium, Philadelphia, PA
Hong, B., Tran, M.A., Cheng, H., Huang, Y., & Barense, M.D. (2020).
Testing retrieved-context models and event boundaries in naturalistic events​.
Lake Ontario Visionary Establishment, Ontario, Canada
Huang, Y., Cheng, H., Tran, M., Hong, B., & Barense, M.D. (2020).
To cope with stressors at the workplace and at home: ​phone use and its consequences​.
Smarti Gras, Ontario, Canada
Huang, Y., Zhao, X., & Toh, S. M. (2019).