Yinqi Huang

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 memory
	Naturalistic stimuli
	Machine learning models

Education & Work:

	PhD in Psychology; Concentration: Cognition and Neural Systems University of Arizona \| 2022 - Present
	Research Assistant: Recurrent Neural Network and Bayesian Knowledge Tracing Devhaus Technologies \| 2020 - 2022
	BSc in Psychology; Concentration: Cognitive Psychology University of Toronto \| 2016 - 2020

Projects

Categories
# 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 REVIEW	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 SLIDES POSTER CODE	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 POSTER	May - Aug 2019
# social psychology; # intergroup contact	Contextual Cues Affect Retrieval of Implicit & Explicit Attitudes Advisor: Dr. Elizabeth Page-Gould SLIDES PAPER CODE DATA	Mar 2017 - Apr 2019

Publications

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. PDF CODE	Huang, Y. (2020).

Posters

How do temporal context and event boundaries affect recall richness for Forrest Gump? Context and Episodic Memory Symposium, Philadelphia, PA PDF	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 PDF	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 PDF	Huang, Y., Zhao, X., & Toh, S. M. (2019).