CV

General Information

Full Name Xiao Han
Languages English, Chinese

Education

  • 2020-2024
    Ph.D. in Computer Science
    Utah State University
  • 2018-2020
    M.S. in Data Analytics
    George Washington University
  • 2014-2017
    M.Eng. in Computer Science
    Oregon State University
  • 2008-2012
    B.Eng. in Computer Science and Technology
    Shandong University

Experience

  • 2024.10 - Present
    Applied Scientist
    Twitch, San Francisco, CA
  • 2023.06 - 2023.08
    Machine Learning and AI Research Intern
    Nokia Bell Labs, Murray Hill, NJ
    • Conducted a patent application as part of the research team.
    • Performed in-depth research on anomaly detection for log data, utilizing large language models (LLM) and leveraging reinforcement learning techniques, such as Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C), to enhance the F1-score across multiple datasets.
  • 2020.08 - 2024.05
    Research Assistant
    Utah State University, Logan, UT
    • Trustworthy Anomaly Detection - Developed anomaly detection models for various data types, including tabular, sequential, and time series data, spanning domains such as performance, explainability, and fairness.
    • Causal Modeling and Inference - Created open-source causal inference models and applied them to various downstream tasks, including mitigating bias for specific demographic groups to promote fairness and offering recommendations to address undesired outcomes of AI models.

Honors and Awards

  • 2024
    • USU Computer Science Outstanding Graduate Student
  • 2020 - 2024
    • USU Presidential Doctoral Research Fellowship $40,000
  • 2023
    • USU Graduate Travel Award
  • 2021
    • IEEE BigData 2021 Travel Award
  • 2021
    • CIKM'21 Travel Award
  • 2015
    • OSU Continued Success Scholarship