CV

Education

  • Attending
    Ph.D. in Logic, Computation, and Methodology
    Carnegie Mellon University, Pennsylvania, United States
  • 2018
    B.Eng. in Electrical Engineering
    University of Science and Technology of China, Anhui, China
    • Graduate with honor.

Honors and Awards

Professional Services

  • Organizing Committee:
    Conference on Causal Learning and Reasoning (CLeaR), 2025.
  • Program Committee:
    International Conference on Learning Representations (ICLR),
    Neural Information Processing Systems (NeurIPS),
    International Conference on Machine Learning (ICML),
    Conference on Causal Learning and Reasoning (CLeaR),
    ACM Conference on Fairness, Accountability, and Transparency (FAccT),
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
    International Conference on Computer Vision (ICCV),
    AAAI Conference on Artificial Intelligence (AAAI),
    Conference on Uncertainty in Artificial Intelligence (UAI),
    International Conference on Artificial Intelligence and Statistics (AISTATS),
    IEEE International Conference on Data Mining (ICDM).
  • Journal Reviewer:
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
    Transactions on Machine Learning Research (TMLR),
    Data-Centric Machine Learning Research (DMLR),
    International Journal of Data Science and Analytics (JDSA).

Experience

  • 2025
    Visiting Student Researcher
    Computer Science Department, Stanford University
  • 2024
    Machine Learning Intern
    Responsible AI, ByteDance Research
  • 2023
    Visiting Student Researcher
    Machine Learning Department, MBZUAI
  • 2022
    Applied Scientist Intern
    Machine Learning Accelerator, Selling Partner Services, Amazon.com Inc.
    • Hosted by Chris Jones, Elaine Wong, and Hila Hashemi.
  • 2022
    Visiting Student Researcher
    Computer Science and Engineering Department, UC Santa Cruz