Mr Jianqiao Mao

School of Computer Science
Research Student

Contact details

Email: jxm1417@student.bham.ac.uk

Address: School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Jianqiao Mao is a PhD student at the University of Birmingham, supervised by Dr. Max A. Little (2022-present). He is awarded a studentship from the Health Data Research UK-The Alan Turing Institute PhD Programme supported by the Wellcome Trust. Before his PhD study, He worked for Alibaba Group as a data scientist, responsible for user growing strategy, data engineering and analytics.

His recent research interests focus on causal machine learning and interpretable AI.

For more about Jianqiao, please follow the link below:

Jianqiao Mao's personal webpage

Qualifications

M.Sc. in Integrated Machine Learning Systems, University College London
B.Eng. (Honours) in Electronics and Electrical Engineering, University of Glasgow
B.Sc. in Finance, University of Electronic Science and Technology of China

Teaching

Programming for Data Science (Autumn 2022, Autumn 2023)
Artificial Intelligence and Machine Learning (Spring 2023)
Data Science Team Project (Spring 2023)
Software Workshop (Autumn 2023)

Doctoral research

PhD title: Causal Machine Learning for Health Data Applications
Supervisors: Dr Max A. Little and Dr Leandro L. Minku

Research

Causal machine learning
Interpretable AI

Publications

Jianqiao Mao, Ryan Grammenos & Konstantinos Karagiannis (2023) Data analysis and interpretable machine learning for HVAC predictive control: A case-study based implementation, Science and Technology for the Built Environment, 29:7, 698-718, DOI: 10.1080/23744731.2023.2239081
Mao, Jianqiao, and Grammenos Ryan. "Interpreting machine learning models for room temperature prediction in non-domestic buildings." arXiv preprint arXiv:2111.13760 (2021).
Mao, Jianqiao, et al. "Many-to-many data trading algorithm based on double auction theory." Procedia Computer Science 174 (2020): 200-209.