Our Postdocs


Melanie McGrath

Postdoctoral Fellow, Data 61 - Sandy Bay

  • Two central themes in my research are perceptions of harm and the nature of moral evaluation. My PhD in Social Psychology at the University of Melbourne explored individual and contextual factors that influence our perception of what is harmful and who is harmed. As an Emerging Scholar of the Center for the Science of Moral Understanding (University of North Carolina), I extended this research to investigate the consequences of moral evaluation arising from these divergent concepts of harm, including implications for political polarisation. Prior to undertaking doctoral studies, I completed a Postgraduate Diploma in Psychology at the University of Melbourne using moral communication as a device to probe the contents of moral reasoning. As a member of the CINTEL FSP I will be developing a framework identifying the factors that contribute to establishing and maintaining human trust in collaborative intelligence systems.

Hashini Senaratne

Postdoctoral Fellow, Data 61 - Pullenvale

  • Hashini received her PhD in Human-Centered Computing and Artificial Intelligence in 2022 from Monash University (Australia). Specifically, her PhD research involved detecting temporal patterns of anxiety using multimodal-multisensor analytics to support the future design of intelligent and clinically-meaningful assistive mobile technologies for anxiety. She holds a BSc. Eng. Honors in Computer Science from the University of Moratuwa, Sri Lanka. She also has a background in designing and developing robotic and electronic-based STEM educational toolkits for children and disability communities. Hashini's broader research interests focus on discovering impactful human-centered AI technologies for multiple domains, using the techniques of domain exploration, multimodal analytics of physiological and behavioral signals, and employing AI techniques in an explainable manner. Currently, as a postdoctoral fellow of the CINTEL FSP, Hashini is researching how the situational awareness of humans in human-robot teams can be maintained at an optimal level throughout a mission, by designing and implementing adaptive interfaces integrated with user models.


Shahroz Tariq

Postdoctoral Fellow, Data 61 - Marsfield

  • Shahroz received his Ph.D. from Sungkyunkwan University, Suwon, South Korea, working on continual learning, deepfake and anomaly detection. He was a Ph.D. research assistant at Stony Brook University and SUNY Korea (2017-2019). He received his B.S. in Computer Science with high distinction from the National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad, Pakistan, and M.S. in Computer Science with high distinction from Sangmyung University, Cheonan, South Korea. He worked as a Software Engineer in Bentley Systems (2014-2015).

    Shahroz's research interests are Continual and Lifelong Learning, privacy & security, and fairness in machine learning-based systems. He likes to explore human-centered AI and the social impact of machine learning-based methods with respect to privacy, security, and fairness. Shahroz has also worked on the applications of machine learning in various fields with respect to domain adaptation & generalization such as:

    1. Intrusion detection and Anomaly detection in time-series data from vehicles and satellites.
    2. Deepfake and synthetic media detection for privacy & security applications.

Alan Stenhouse

Postdoctoral Fellow, Data 61 – Black Mountain

  • Alan completed his PhD in Ecology at the University of Adelaide with research on improving the quality of biodiversity data collected using citizen science projects. As part of his PhD research, he developed species observation recording apps, including for the echidnaCSI project which was one of the 3 finalists for the 2021 Eureka Prize for Innovation in Citizen Science. Prior to returning to Australia for his PhD, Alan had a wide-ranging career in software development internationally with a later focus on mobile applications. His interests include software development, human-computer interaction and usability, biodiversity conservation and ecology, citizen science, machine learning and the combination of these areas for positive contributions to our shared world and knowledge systems. As part of the CINTEL FSP, Alan is researching using collaborative intelligence to assist with biological collection management.

Maisie Li

Postdoctoral Fellow, Agriculture and Food – Waite

  • Maisie’s focus is Genomics and Bioinformatics. Maisie worked as a Research Associate at the University of South Australia (UniSA), developing drug repurposing methods for COVID-19 treatment. She obtained her PhD in Bioinformatics from UniSA, where she developed computational methods for breast cancer prognosis in precision medicine. Maisie is generally interested in developing and applying data mining/machine learning and causal inference methods to solve real-world problems. She has applied machine learning in various fields, such as preeclampsia biomarkers identification, RNA tertiary structure prediction, protein subcellular localization, and cell position prediction.