Dake Zhang

Dake Zhang

PhD Student in Computer Science

University of Waterloo


Behind every beautiful thing, there is some kind of pain.

Hi, I’m a PhD student in Computer Science at the University of Waterloo advised by Prof. Mark Smucker and a member of the Data Systems Group. My research interests include Information Retrieval, Natural Language Processing, and Artificial Intelligence. My recent work is about the mitigation of online misinformation and biases. Before that, I received my Master’s degree in Computer Science from the University of Waterloo and my Bachelor’s degree in Software Engineering from Wuhan University.

Download my resumé.

  • Information Retrieval
  • Natural Language Processing
  • Artificial Intelligence
  • PhD Student in Computer Science, 2025 Exp.

    University of Waterloo

  • MMath in Computer Science, 2022

    University of Waterloo

  • BSc in Software Engineering, 2020

    Wuhan University


Information Retrieval Group, University of Waterloo
Research Assistant
Sep 2020 – Present Waterloo, ON, Canada
Cheriton School of Computer Science, University of Waterloo
Teaching Assistant
May 2021 – Present Waterloo, ON, Canada
Douyin (TikTok in China), Bytedance
Machine Learning Intern
May 2020 – Sep 2020 Beijing, China
  • Mentors: ZHANG Keyang, YANG Xuecheng
  • Assisted in adjusting the Recommender System to support the launch of Friend Tab.
  • Experimented and deployed personalization strategies to promote interactions (e.g., liking, commenting, sharing, etc.) among friends.
  • Applied Machine Learning algorithms to predict the intimacy among users, which improved friend interactions per user by 1%.


Quickly discover relevant content by filtering publications.
(2022). Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search. In ACM SIGIR 2022.

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(2022). UWaterlooMDS at the TREC 2021 Health Misinformation Track. In TREC.

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