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Tianyi is an Early Career Researcher in the field of Parenting and Family Psychology. His research has been recognised through over AU$100,000 in research grants and awards, 15 refereed journal articles, one book chapter, one report, one working paper, over 10 conference presentations, and various academic prizes. His earlier work investigated family-level risk and protective factors of positive child development and child mental health and their integration into the wider ecological system. He is also interested in the evaluation of evidence-based strategies to promote child mental health, such as evidence-based parenting programs. He is skilled in advanced quantitative analyses and modelling, evidence synthesis methodologies, conducting clinical trial research, as well as research project management. Tianyi leads research projects in the field and is a sought-after contributor to other research projects as a methodologist and statistician. Tianyi is currently serving on the Early-Career Editorial Board of Prevention Science, the flagship journal of the Society for Prevention Research (USA).

I’m an Associate Professor of Psychology driven by the goal of safeguarding humanity’s future through effective AI governance. My career began with a strong focus on evidence synthesis, meta-analysis, and knowledge translation in health, education, and leadership settings. This background honed my ability to tackle large, complex problems by integrating insights from multiple research disciplines, and by designing interventions that reach people at scale.

I now channel these skills into understanding and mitigating the risks posed by advanced artificial intelligence. Drawing on my experience leading large, multi-stakeholder projects, I use rigorous methods—from systematic reviews to agile-based project management—to generate robust, transparent evidence for policymakers and practitioners. Through roles such as Director at Effective Altruism Australia, I also contribute to shaping philanthropic and public policy strategies around AI risk.

Ultimately, my work aims to merge best-practice research with real-world solutions, ensuring that advanced AI is developed and governed responsibly for the long-term benefit of society.

Dr Chase Sherwell is a Research Fellow at the UQ Learning Lab and the Principal Research Technician for the Compassionate Mind Research Group in the School of Psychology. His research combines neuroscientific, psychological, and educational perspectives to provide tools for enacting learning, well-being, and behavioural change in real-world contexts. With a focus on application, Dr Sherwell’s work aims to identify metrics of internal psychological mechanisms that can be easily interpreted and integrated by professionals and end-users to facilitate skill development and mental health in everyday life.

With a background in cognitive neuroscience, psychology, and education research, Dr Sherwell leads projects that aim to explain learning, development, and mental health across disciplinary lines: from the level of neural networks through to everyday experience. Integrating multi-modal techniques including digital interaction, biometrics, and neurophysiology, Dr Sherwell develops tools, user experiences, and analytics that provide actionable metrics and insights for professionals and researchers.

Dr Sherwell is a Research Fellow in the UQ Learning Lab: a team of multi-disciplinary researchers, educators, and industry partners who collaborate to transform learning, teaching, and training in diverse school and post-school environments through the science of learning. In this role, Dr Sherwell lends his expertise in cognitive neuroscience and psychology to develop projects aimed at understanding and measuring the barriers, facilitators, and mechanisms of self-regulation in professional contexts. He leads projects designing digital tools providing educators with real-time feedback on learner states and skill development integrating smartphone apps and biometrics from wearable devices.

Dr Sherwell is also the Principal Research Technician for the Compassionate Mind Research Group – the leading research hub for Compassion Science in Australia, based at the UQ School of Psychology. In this role, he oversees research design and development across projects investigating the mechanisms of prosocial behaviour in everyday life, barriers to clinical interventions, and the efficacy of online interventions for mental health.