I am senior lecturer at the School of Computer Science of the University of Auckland and CTO of enviPath. I am member of the Machine Learning Group at UoA. My main research area is machine learning and its application to bioinformatics, cheminformatics, computational sustainability, and privacy. My approach to research is to use interesting and challenging questions in other research areas and develop new machine learning methods that address them to potentially advance not only the field of machine learning, but also the area it is applied to. In my career, I worked on diverse machine learning topics including autoencoders, Boolean matrix decomposition, inductive databases, multi-label classification, privacy-preserving data mining, adversarial learning, and time series analysis.

I am currently looking for PhD, Honours, or Masters students, if you are interested in any of my research areas, contact me by mail.

Recent Publications

Journal Articles

Stepišnik, Tomaž; Škrlj, Blaž; Wicker, Jörg; Kocev, Dragi

A comprehensive comparison of molecular feature representations for use in predictive modeling Journal Article

Computers in Biology and Medicine, 130 , pp. 104197, 2021, ISSN: 0010-4825.

Abstract | Links | BibTeX | Altmetric

Roeslin, Samuel; Ma, Quincy; Juárez-Garcia, Hugon; Gómez-Bernal, Alonso; Wicker, Jörg; Wotherspoon, Liam

A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake Journal Article

Earthquake Spectra, 36 (2), pp. 314-339, 2020.

Abstract | Links | BibTeX | Altmetric


Chester, Andrew; Koh, Yun Sing; Wicker, Jörg; Sun, Quan; Lee, Junjae

Balancing Utility and Fairness against Privacy in Medical Data Inproceedings

IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1226-1233, IEEE, 2020.

Abstract | Links | BibTeX | Altmetric

Dost, Katharina; Taskova, Katerina; Riddle, Pat; Wicker, Jörg

Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias Inproceedings

2020 IEEE International Conference on Data Mining (ICDM), pp. 996-1001, IEEE, 2020, ISSN: 2374-8486.

Abstract | Links | BibTeX | Altmetric

Roeslin, Samuel; Ma, Quincy; and Chigullapally, Pavan; Wicker, Jörg; Wotherspoon, Liam

Feature Engineering for a Seismic Loss Prediction Model using Machine Learning, Christchurch Experience Inproceedings

17th World Conference on Earthquake Engineering, 2020.

Abstract | Links | BibTeX