Kyoung Whan Choe

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Machine Learning Enthusiast with Cognitive Neuroscience expertise

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Photo Credit: Erielle Bakkum

Currently making it easy to create multiplayer game playing AIs, like OpenAI Five or Alpha Star, democratizing multi-agent reinforcement learning research. Check out our NeurIPS 2023 Neural MMO Challenge and arxiv!

As the first Data Scientist at Enuma, I established the data team/processes, including data analyst onboarding, adhoc data analysis, tracking plan management (avo), defined user/content metrics, and led/guided experimentation based on these metrics.

During my PhD and postdoc, I used web-based cognitive tasks, brain imaging, eye-tracking, and machine learning to study human decision-making. For example, I developed The Choose-And-Solve Task to show how some individuals with math anxiety choose to avoid math and published my work in Science Advances (Choe et al., 2019).

My other works on cognition include reactive aggression (mturk), urban scene perception (mturk), personality trait/task attentiveness (mturk/ mouse), image memorability (eye-tracking), cognitive load (fNIRS), and visual categorization (fMRI).


Web-based Cognitive Tasks

These tasks are based on the jsPsych library and have been used in my research with Qualtrics. You can try these right now! NOTE: These tasks are NOT designed to work on mobile phones and tablets.

Have you wondered how to use jsPsych with Qualtrics? Here is the jsPsych in Qualtrics Tutorial Series!


Math Anxiety & Avoidance Decision-Making

The Choose-And-Solve Task (CAST) is a novel effort-based decision-making task in which participants chose between solving easy, low-reward problems and hard, high-reward problems in both math and nonmath contexts. Higher levels of math anxiety were associated with a tendency to select easier, low-reward problems over harder, high-reward math (but not word) problems, suggesting that we cannot even pay math-anxious people to do hard math. Addressing math avoidance behaviors can help break the vicious cycle of math anxiety and increase interest and success in STEM fields. Please see the paper (Choe et al., 2019, Science Advances).



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