Youngsuk Park
 |
Youngsuk Park |
Contact
Office: 2795 Augustine Dr, Santa Clara, CA 95054
Email: youngsuk@cs.stanford.edu
Linkedin
News
Jan. 2023. Two paper on XAI and robust forecasting were accepted at AISTATS and ICLR, respectively.
Dec. 2022. We presented the tutorial of Deep Time Series Forecasting at IEEE Big Data.
Dec. 2022. Three papers on transformer and adaptive forecasting, and causality appeared in NeurIPS workshops.
June. 2022. We organize KDD workshop on Mining and Learning from Time Series – Deep Forecasting: Models, Interpretability, and Applications.
Research Interests
Time Series Forecasting
Explainable and Causal AI
Machine Learning
Optimization
Reinforcement Learning
Experiences
Amazon Web Service (AWS) AI Labs, Machine Learning Scientist, Jun. 2020– Present.
Adobe Research, Data Science Research Intern, Summer 2019.
Criteo Artificial Intelligence Labs, Research Scientist Intern, Summer 2018.
Bosch Center for Artificial Intelligence, Machine Learning Intern, Summer 2017.
Convex Optimization II, Teaching Assistant, Spring 2015.
Education
Ph.D., Electrical Engineering, Stanford University, 2020. (Advisors: Stephen Boyd and Jure Leskovec)
M.S., Electrical Engineering, Stanford University, 2016.
B.S., Electrical Engineering, Minor in Mathematics, Korea Advanced Institute of Science and Technology, 2013.