Hi, I am a first year Ph.D. student at New York University, Courant Institute of Mathematical Sciences, under the supervision of Prof. Sumit Chopra and Prof. Kyunghyun Cho. Previously, I completed my Masters at Machine Learning and Artificial Intelligence (MLAI) Lab in Korea Advanced Institute of Science and Technology (KAIST), where I was advised by Prof. Sung Ju Hwang. My research interests include adversarial robustness, network compression, ensemble learning, and meta-learning. I am particularly interested in understanding the susceptibility of existing models to natural and synthetic distribution shifts. My current research focuses on developing algorithmic methods to enhance the confidence and generalizability of existing models while making them compact to deploy them in real-world safety-critical applications.

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  • Conference reviewer
    • ICLR 2022
    • NeurIPS (2020, 2021)
    • ICML (2020 - Top 33%, 2021)
    • AAAI 2021
    • ACML 2020
  • Workshop reviewer
    • NeurIPS MetaLearning workshop 2020
  • Volunteer
    • ICLR 2020
    • ICML (2020, 2021)
    • NeurIPS 2020