Talks
Dept. of Computer Science, University of San Diego, San Diego, 2023
Amazon Machine Learning Conference (AMLC), Virtual, 2022
AWS AI Labs, Santa Clara, 2022
Amazon Machine Learning Conference, Virtual, 2021
School of Data Science, Seoul National University (SNU), S. Korea, 2020
Amazon Web Service (AWS) AI, Palo Alto, 2020
Facebook AI, Menlo Park, 2020
Rakuten Research, San Mateo, 2020
Adobe Research, San Jose, 2019
Hyundai AI Labs, Seoul, Korea, 2019
Hyundai Global Forum, San Diego, 2018
Kakao Brain, Bundang, Korea, 2017
Organizing Workshops
SIGKDD International Workshop on Mining and Learning from Time Series – Deep Forecasting: Models, Interpretability, and Application, 2022.
Tutorial
Review Activities
Journal of Machine Learning Research (JMLR),
Neural Information Processing Systems (NeurIPS),
International Conference on Learning Representations (ICLR),
International Conference on Machine Learning (ICML),
Journal of Artificial Intelligence Research (JAIR),
Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
SIAM Journal on Mathematics of Data Science (SIMODS),
Journal of Scientific Computing (JOSC)
Community Activities
Host of Weekly Time Series Seminar where 25+ Scientists in AWS AI Labs attend
Amazon Advisor having been mentoring for 20+ Junior Scientists and Interns
President of Korean Electrical Engineering Association at Stanford, Member of Korean Gates Society at Stanford, Committee of Stanford-KAIST-Silicon Valley Association
President of Korean Basketball Association at Stanford
Collaborators
Amazon: Bernie Wang, Jan Gasthaus, Luke Huan, Dean Forster, Dominik Janzing.
Acamedia: Stephen Boyd (Stanford), Jure Leskovec (Stanford), Stefano Ermon (Stanford), Hongseok Namkoong (Columbia B. Scool), Ernest Ryu (SNU), Andrew Gordon Wilson (NYU), Dan Roth (UPenn).
Interns: Charlie Marx (Stanford), Yuhao Ding (UC Berkeley), Linbo Liu (UCSD), Sanae Lotfi (NYU), Jiayao Zhang (UPenn), Luca Masserano (CMU), Xiyuan Zhang (UCSD), Arun Jambulapati (Stanford), Kelvin Kan (Emory), Shantnu Gupta (CMU), Taeho Yoon (SNU), Yucheng Lu (Cornell), Xiaoyong Jin (UCSB).
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