BIO

Ziqi Zhong is a Lecturer (Assistant Professor) in Management Science at the University of Technology Sydney and a Visiting Professor in Digital Economics and Policy at Southwestern University of Finance and Economics. His research draws on economic modelling, foundation models and neuroscience to examine how emerging technologies shape human behaviour, transform organisations and influence the transition to a more sustainable society.

 

Ziqi’s research appears in leading business journals and premier computer science venues (CORE A*/CCF A). His work has been featured in major media outlets including MIT Technology Review and China Daily. He serves as an Associate Editor of Electronic Commerce Research (ABDC: A, Springer Nature). He is a Fellow of the Australian Artificial Intelligence Society and a Senior Member of IEEE.

 

Ziqi has taught a broad range of subjects across undergraduate, postgraduate and Executive MBA programmes, using industry cases to help students apply theory to business decisions. He has been recognised with the LSE Teaching Award and nominated for the Outstanding Teacher of the Year. He is also a Fellow of the Higher Education Academy (FHEA).

 

Beyond the classroom, Ziqi works with industry and government partners to design and conduct large-scale field experiments on AI adoption, skills development and human–robot interaction. He also serves as an External Research Scientist in Computational Behavioural Science and Neuroscience at NetEase Games.

 

Ziqi earned his PhD and MRes in Management Science (Quantitative Marketing) from the London School of Economics, where he was a Lee Family PhD Scholar. Beyond academia, he was the first Chinese national to hold Master Instructor certifications in both freediving and scuba diving in Europe.

UNIVERSITY OF TECHNOLOGY SYDNEY APPOINTMENTS

  • Lecturer
    University of Technology Sydney, Sydney, Australia2026 - present

ACADEMIC POSITIONS

  • Visiting Professor in Digital Economics & Policy
    Southwestern University of Finance and Economics, China2025 - present

NON-ACADEMIC POSITIONS

  • External Research Scientist, Computational Behavioural Science & Neuroscience
    NetEase Games, China2026 - present

DEGREES

  • PhD, Management Science (Quantitative Marketing)
    London School of Economics, United Kingdom2023 - 2026
  • MRes, Management Science (Quantitative Marketing)
    London School of Economics, United Kingdom2021 - 2023
  • BEng, Computer Science (Cyber Security)
    Cisco School of Informatics, Guangdong University of Foreign Studies, China2014 - 2018

PROFILE TYPE

  • Academic

AVAILABILITY

  • Masters Research or PhD student supervision
  • Industry Projects
  • Collaborative projects
  • Media enquiries