Taesik Gong
Assistant Professor at Ulsan National Institute of Science and Technology
Ulsan, South Korea
Summary
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Senior🎓
Top SchoolTaesik Gong is an assistant professor and former Bell Labs research scientist with nine years of experience at the intersection of on-device AI, human-centered machine learning, and mobile sensing. He completed a PhD at KAIST where his dissertation and projects focused on domain adaptation, test-time adaptation, and meta-learning for personalized sensing systems deployed on everyday devices. His work spans academia and industry with research stints at Nokia Bell Labs, Google, Microsoft, and a visiting scholarship at Cambridge, combining systems-level engineering with novel ML methods. Taesik has built practical on-device pipelines—ranging from vibroacoustic object recognition and eyeglass-attached eating detection to real-time RL-driven communication and adversarial audio attacks—demonstrating a knack for translating theory into deployable prototypes. He is based in Ulsan, South Korea, and maintains an active research profile emphasizing privacy-preserving, personalized intelligence at the edge. An understated thread across his career is a consistent focus on adapting models to real-world distribution shifts, making his work especially relevant for robust, user-centric AI.
9 years of coding experience
1 year of employment as a software developer
B.S. Computer Scienece, B.S. Computer Scienece at Yonsei UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (6)
ranking8
science8
computer-science7
react7
detector1
android1
Programming languages (1)
Github contributions (5)
TaesikGong/MetaSense_public
Jun 2020 - Oct 2022
Contributions:15 commits, 11 pushes, 1 branch in 2 years 4 months
TaesikGong/DCCC-LSTM
May 2017 - Feb 2019
Contributions:104 commits, 8 pushes, 5 branches in 1 year 9 months
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