Manuele Reani is a computer scientist, psychologist, and scholar specializing in Human-AI Collaboration, Cognitive Science, and Human-computer Interaction (HCI). He currently focuses on behavioral decision-making in human-AI collaborative environments, integrating cognitive science principles with AI design.
Previously, he served as a Postdoctoral Research Associate at The University of Manchester, contributing to health data science projects affiliated with the Alan Turing Institute. He holds a PhD in Computer Science from The University of Manchester, where his dissertation focused on Human-Computer Interaction (HCI) and behavioral decision-making. Additionally, he earned an MSc in Management Science from the London School of Economics (LSE) and a mini-MBA from the University of London. He is also a chartered psychologist (BSc, CPsychol) registered with the British Psychological Society (BPS).
Prof. Reani's multidisciplinary expertise has spanned the fields of computer science, psychology, and behavioral economics, with the core objective of understanding and improving human decision-making through the use of technology. His research portfolio includes peer-reviewed articles published in prestigious journals and conferences across both computer science and psychology. He has actively contributed to the scientific community as a reviewer and guest editor for reputable journals in these disciplines. He has also served as a consultant for several companies in different countries.
His professional trajectory includes impactful roles in academia, notably as a scholar, editor, reviewer, researcher, and lecturer, with teaching experience at The University of Manchester and The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), and research engagements at The Alan Turing Institute and Hong Kong University of Science and Technology (HKUST). He has been teaching courses in Statistics with SPSS, Applied Statistics and Dana Analysis with R, Research Method and Experimental Design, UX Research, Human-computer Interaction, Business Intelligence and Analytics, and Web Analytics.