David Lovell

David Lovell is a Professor in the School of Computer Science at Queensland University of Technology (QUT). He previously served as Head of the School of Electrical Engineering and Computer Science (2014–2019) and Deputy Director of QUT’s Centre for Data Science (2020–2021). His research focuses on the intersection of humanity, science, and technology, particularly in data science and compositional data analysis (CoDA). Lovell holds a PhD in Electrical Engineering from the University of Queensland (1994) and a BEng (Honours 1) in Computer Systems (1989).

Education Background:

• BEng(Hons 1)(Computer Systems), University of Queensland (1989)
• PhD, University of Queensland (1994)
• PGDipMgmt, Macquarie University

Research Interests:

David’s work emphasizes ethical and human-centric applications of data-driven decision-making systems. He advocates for CoDA in bioscience to ensure appropriate analysis of relative abundance data. His research spans bioinformatics, healthcare technology, and the societal implications of data science.

Publications Overview: Lovell has contributed to over 50 peer-reviewed articles, including seminal work on proportional analysis in bioinformatics and applications of machine learning in healthcare. Recent trends include studies on Indigenous data literacy, AI in radiology training, and tumor microenvironment analysis.

Awards & Recognition: While no specific awards are listed, his leadership roles and prolific publications highlight his significant contributions to the field.

Advising & Grants: As Head of EECS and through interdisciplinary collaborations, Lovell fostered institutional growth. His supervision focuses on large-scale bioinformatics and information retrieval.

Labs & Teams: Active in the Centre for Data Science and previously led the Statistical Bioinformatics-Agribusiness Group at CSIRO. Collaborates with organizations like EMBL Australia and Bioplatforms Australia.