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Korea Advanced Institute of Science and Technology
Data Scientist
June 29, 2026 – Present
Random2
February 22, 2026 – Present
Implementation of "Brain-Inspired Warm-Up Training with Random Noise for Uncertainty Calibration" (Cheon and Paik, Nat. Mach. Intell., 2026)
View ProjectRandom
October 24, 2024 – January 6, 2025
Implementation of "Pretraining with random noise for fast and robust learning without weight transport" (Cheon et al., NeurIPS, 2024)
View Projectrandom-dot-motion
April 2, 2024 – April 12, 2024
Web-based demo of random dot motion task for perceptual decision making (Britten et al., 1992)
View Projectlob-world-models
July 7, 2023 – August 22, 2023
Implementation of the paper <Model-based Reinforcement Learning for Predictions and Control for Limit Order Books (Wei et al., J.P. Morgan AI Research, 2019)>.
View Projectlob-deep-learning
November 9, 2022 – December 11, 2022
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
View Projectoff-renderer
November 4, 2022 – November 11, 2022
Render the CAD file (.off) of a object to a low-level feature controlled image under various types of transformation.
View ProjectInvariance
August 11, 2022 – November 6, 2022
Implementation of "Invariance of object detection in untrained deep neural networks" (Cheon et al., Frontiers in Computational Neuroscience, 2022)
View ProjectSuperDuperTradingBot
January 17, 2020 – February 7, 2020
SuperDuperTradingBot — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal research implementations, indicating a strong drive for independent learning and deep technical exploration. The focus on academic research papers suggests a preference for challenging, cutting-edge problems. However, the lack of collaborative projects or diverse industry applications makes it difficult to fully assess cultural fit for a team-oriented or product-focused environment. The single professional experience as a Data Scientist at an academic institution aligns with a research-heavy culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are technically focused, and no psychometric or English test results are available.