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Biography

Educations

  • Ph.D., University of Virginia, Charlottesville, VA

    • 08/2019-05/2024;

    • Advisor: Prof. Cong Shen;

    • Major: Electrical Engineering;

    • School of Engineering and Applied Science.

  • B.E., University of Science and Technology of China, Hefei, China

    • 08/2015-06/2019;

    • Advisor: Prof. Weiping Li;

    • Major: Electronic Information Engineering;

    • School of the Gifted Young.

Experiences

  • Senior Reseacher, AI Group–Research Discovery Team, Bloomberg L.P., New York, NY

    • 08/2024-Now;

    • Working on leveraging large language models (LLMs) to perform document summarization tasks in the financial domain.

  • Visiting Student, CS Department, University of Illinois Urbana-Champaign, Urbana-Champaign, IL

    • 02/2024--05/2024;

    • Advisor: Prof. Tong Zhang;

    • Worked on reinforcement learning from human feedback (RLHF) for aligning large language models (LLMs) in multi-step reasoning and tool-using tasks.

  • Research Intern, AI Group–Navigation Team, Bloomberg L.P., London, UK

    • 06/2023-09/2023;

    • Mentors: Hang Ren, Diego Ceccarelli, Edgar Meij;

    • Worked on an empirical Bayes approach for learning to rank with clicks under unknown position bias in recommender systems.

  • Research Intern, AI Group–Research Understanding Team, Bloomberg L.P., New York City, NY

    • 06/2022-09/2022;

    • Mentors: Mozhgan Azimpourkivi, Shubham Chopra, Umut Topkara;

    • Worked on incorporating offline RL techniques to improve offline learning-to-rank designs under different click models in recommender systems.

  • Visiting Student, University of Miami, Miami, FL

    • 09/2018–11/2018;

    • Advisor: Prof. Jie Xu;

    • Worked on partitioning DNN adaptively between edge server and local device to accelerate task inferences with privacy guarantees.

Honors and Rewards