22/05/2025 at 13.00
Reliable Machine Learning – Methods and Applications in Environmental Sciences
Recording
Joerg Simon Wicker
Friday, May 30th, at 14:00, JSI main lecture hall (Jamova 39)
Recording
Reliable Machine Learning – Methods and Applications in Environmental Sciences
Senior Lecturer at the School of Computer Science at the University of Auckland, co-founder and CEO of enviPath Limited
Joerg's research covers both the development of machine learning algorithms and their practical application across various domains, including bioinformatics, cheminformatics, and environmental sciences. His current focus is on reliability of machine learning algorithms, exploring adversarial machine learning, and addressing bias within the field. These works have applications in domains such as chemistry, epidemiology, and environmental research. Joerg has contributed as an author of over 50 peer-review papers in machine learning, cheminformatics, environmental sciences, and other disciplines, as well as a member of the program committee of top-ranked conferences. He was awarded the Ig Nobel Prize in Chemistry in 2021.

I will discuss reliability of Machine Learning (ML) algorithms, from the perspective of adversarial learning and its implications in terms of model quality and robustness given new data. The talk will highlight how adversarial learning can be used as a valuable tool to measure and improve reliability, particularly in the domain of environmental sciences.
Highlighting the central role of reliable ML in environmental sciences, I will showcase our work in various applications in environmental sciences, particularly atmospheric and environmental chemistry.

For an overview of my ongoing research projects visit my lab’s webpage at: https://wickerlab.org.

Joerg Simon Wicker
Senior Lecturer at the School of Computer Science at the University of Auckland, co-founder and CEO of enviPath Limited