Mengdie Zhuang

Lecturer (Assistant Professor) in Data Science at the School of Information, Journalism and Communication, University of Sheffield.

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School of Information, Journalism and Communication

University of Sheffield

United Kingdom

When I am not fixing coding bugs, I write and talk about how people interact with artificial systems in the process of acquiring information, and how this interaction augments the user experience and influences decision-making. My work focuses on the digital health domain.

I’m interested in using methods from machine learning and data visualisation, and theories from information retrieval and user engagement.

Prior to joining the University of Sheffield, I worked at CASA UCL.

I am interested in a range of subjects, covering:

  • digital health, human mobility
  • user interaction in ML and RL, user engagement
  • data visualisation
  • generative models

A longer document can be found here. If you are interested in working with me, please feel free to drop me an email!

selected publications

  1. Impersonating the Crowd: Evaluating LLMs’ Ability to Replicate Human Judgment in Misinformation Assessment
    David La Barbera, Riccardo Lunardi, Mengdie Zhuang, and 1 more author
    In Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR ’25), 2025
  2. A Framework for Evaluating Dashboards in Healthcare
    Mengdie Zhuang, David Concannon, and Ed Manley
    IEEE Transactions on Visualization and Computer Graphics, 2022
  3. Digital Technologies in the Public-Health Response to COVID-19
    Jobie Budd, Benjamin S. Miller, Erin M. Manning, and 14 more authors
    Nature Medicine, 2020
  4. Understanding Engagement through Search Behaviour
    Mengdie Zhuang, Gianluca Demartini, and Elaine G. Toms
    In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM ’17), 2017
  5. The Relationship between User Perception and User Behaviour in Interactive Information Retrieval Evaluation
    Mengdie Zhuang, Elaine G. Toms, and Gianluca Demartini
    In Advances in Information Retrieval: 38th European Conference on Information Retrieval (ECIR 2016), Mar 2016