Dr Thao Le

Dr Thao Le

Research Associate

PhD in Engineering and IT (Artificial Intelligence), The University of Melbourne.

Engineering
Computer Science and Engineering

Dr. Thao Le is a Postdoctoral Research Associate at the School of Computer Science and Engineering, University of New South Wales, working on an ARC Discovery Project on developing skilled AI companions. Her current research focuses on language models, knowledge representation and reasoning.

She completed her PhD in 2025 with a specialisation in AI at the School of Computing and Information Systems, University of Melbourne, fully funded by Melbourne Research Scholarship. Her PhD project focused on designing explainable AI systems that aim to help users make better decisions.

During her research career, she has published papers in top AI venues as the first author, such as AAAI, ECAI, and JAIR. Her research interests include:

  • explainable AI
  • language models
  • human-AI interaction
  • knowledge representation and reasoning

 

  • Book Chapters | 2024
    Le T; Miller T; Sonenberg L; Singh R, 2024, 'Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence', in Endriss U; Melo FS; Bach K; Bugarin-Diz A; Alonso-Moral JM; Barro S; Heintz F (ed.), , IOS PRESS, pp. 850 - 857, http://dx.doi.org/10.3233/FAIA240571
  • Journal articles | 2023
    Le T; Miller T; Singh R; Sonenberg L, 2023, 'Explaining Model Confidence Using Counterfactuals', THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 10, pp. 11856 - 11864
    Journal articles | 2023
    Le T, 2023, 'Explaining the Uncertainty in AI-Assisted Decision Making', Proceedings of the AAAI Conference on Artificial Intelligence, 37, pp. 16119 - 16120, http://dx.doi.org/10.1609/aaai.v37i13.26920
    Journal articles | 2021
    Le T; Singh R; Miller T, 2021, 'Goal Recognition for Deceptive Human Agents through Planning and Gaze', Journal of Artificial Intelligence Research, 71, pp. 697 - 732, http://dx.doi.org/10.1613/jair.1.12518

  • Melbourne Research Scholarship: Full fee offset and stipend (2021-2025)
  • Google Conference Grant (2023)
  • Melbourne Centre for Data Science (MCDS) Top Up Scholarship (2022)

ARC Discovery Project - Harnessing AI to reduce loneliness  (ARC-DP 2025-2027)

My Research Supervision

I am available to supervise undergraduate and Master's students. If you are interested in doing a research thesis with me, please feel free to email me your brief CV with research interests. I currently do not have fundings for PhD/MPhil/Research Assistant positions.