About Us

I am a Professor in the School of Computer Science. My primary interest is the efficacy and efficiency of novel machine learning techniques when applied to real-world problems, focusing on healthcare and the environment. I have a number of projects running extending machine learning algorithms for prediction, forecasting, adversarial learning, and data stream mining. I am interested in ethical issues around the application of algorithms in society, including consent, explainability of algorithms, and bias in data-driven models. I am a Fellow of the Royal Society of New Zealand. Prior to joining the University of Auckland in 2000, I was with the Victoria University of Wellington. I completed a PhD in Computer Science at the University of Melbourne.

I received my PhD from the Community University Grenoble Alpes (France) in 2018. My research interests are wide and various. I have previously worked in industrial computer vision and machine learning applied to automated visual quality control in injection moulding. More recently, I worked on automated hyper-parameter setting in a data stream environment. I am currently a teaching fellow in the School of Computer Science, and I am particularly interested in how recent technologies like ChatGPT interacts with education.

Jim Warren is Professor of Health Informatics in the School of Computer Science. His primary interest is application of novel IT to improve the quality and equity of healthcare delivery. He has a number of projects running in the area of AI agents as mental health tools, especially for younger people. He is also interested in explainability of algorithms based on large data sets and quality of informed consent. He is a Fellow of the Australasian Institute of Digital Health. Prior to joining the University of Auckland in 2005, he was with the University of South Australia. He did his BSc in Computer Science and PhD in Information Systems at the University of Maryland in Baltimore.

My academic training is in both philosophy and data science and I have research interests at the intersection of these domains, particularly with respect to professional ethics and socially responsible use of AI and ML. I also investigate privacy techniques employed in the public release of personal information, specifically with respect to confidentiality and usability. I am a member of Te Pokapū, the steering committee of Te Mana Raraunga – the Māori data sovereignty network

Burkhard Wünsche is a leading researcher in visual computing who focuses on solving real-world problems using visual representations. His research interests include visual computing (Computer Graphics, Computer Vision, HCI, AR/VR), serious games, and innovative education applications and health interventions. He has published more than 250 papers, worked on numerous industry projects, and was involved with commercialisation research. In the field of computing education Burkhard Wünsche has led research developing novel AR/VR technologies for teaching and automatic assessment. 

I have a long-running research interest in web-scale systems and improving their value to users, which led to program and steering committee work in enterprise computing and user interfaces and several best paper awards. I was a founding member of the first sustainability committee in our University, leading to international recognition of the University of Auckland as a sustainability leader.

Diana is currently a Senior Research Fellow at the Strong AI Lab, School of Computer Science, The University of Auckland. Her research focuses in the areas of lifelong/continual learning and human-centred AI. She is also recently interested in language models and multimodal machine learning. She has extensive experience leading the design and deployment of machine learning tools for supporting decision making in a variety of application domains. She also has mentoring and teaching experience in data science, machine learning, computer algorithms and programming languages. She holds a PhD in Computer Science from The University of Auckland, New Zealand.

I am a Post Doctoral Fellow in the School of Computer Science participating in projects on green and sustainable computing, freshwater modeling, and ethical computing. My main research interests revolve around the reliability of data and models, particularly with respect to biases, adversarial learning, and active learning. I enjoy solving real-life problems that matter, especially in chemistry or environmental applications.

Cristian is a statistician with a Master in Statistics and a background in health data analysis. He is working on using Machine Learning Models and routinely collected data to predict dementia in New Zealand people. He is interested in classification and prediction analysis with different types of data (text data, longitudinal data, imagining data, etc.)

I am a Doctoral Candidate at the School of Computer Science at the University of Auckland, New Zealand. My research focuses on human imitation reinforcement learning and computer science education with a focus on ethical issues in computing.

My area of research centers on examining the ethical implications of deep learning in the realm of computing, with a specific focus on the impact of cultural diversity on potential bias in large-scale collective models designed for resource-limited regions.