Maxine Sherman

Dr Maxine Sherman is a Lecturer in Computer Science & AI (Informatics) at the School of Engineering and Informatics, University of Sussex, where she has been a faculty member since 2022. She previously served as a Postdoctoral Research Fellow in Cognitive Neuroscience and Computational Psychiatry at the University of Sussex and Brighton and Sussex Medical School.

Her educational background includes a PhD in Psychology (2012–2016), an MSc in Experimental Psychology (2011–2012), and a BSc in Mathematics (2007–2010), all from UK universities. Her research focuses on human metacognition—particularly how individuals evaluate their decisions, estimate confidence, develop self-efficacy, and mentalize—and whether these processes share underlying mechanisms. She employs behavioral experiments, neuroimaging (fMRI, EEG), computational modeling, and physiological recordings (e.g., eye-tracking) in her work.

Her recent publications explore topics such as metacognitive control, confidence heuristics, subjective time perception, and interoception. She is actively involved in open science and metascience, serving as a recommender for Peer Community In Registered Reports (PCI-RR). She contributes to high-impact collaborative projects like 'The Confidence Database' and has developed methodological tools such as the Cardiac Timing Toolbox (CaTT).

Scientific awards and honors are not explicitly listed in the provided text.

Dr Sherman supervises students across multiple programs, including BSc and MSc degrees in Computer Science, AI, Data Science, and Neuroscience. She is the module convenor for 'MSc Intelligence in Animals and Machines' and 'Decision Processes in Human Cognition,' and co-convenes the MSc Artificial Intelligence and Adaptive Systems program. She maintains active research labs and collaborations centered on cognitive neuroscience, AI, and consciousness science, with ongoing work in metacognition and decision-making.