معرفی
Ben Fulcher is an NHMRC Early Career Fellow at the Brain and Mental Health Laboratory (BMH) within the School of Psychological Sciences at Monash University. His research integrates physics-based modeling, time-series analysis, and machine learning to study brain connectivity in schizophrenia and the interplay between gene expression and neural networks. He holds a B.Sc. (Adv) (Hons) in Physics and Nanoscience from the University of Sydney (2007), an M.Sc. in Physics (2008), and a DPhil from the University of Oxford (2012) focusing on highly comparative time-series analysis.
Research Interests: His work spans computational neuroscience, brain connectivity modeling, and interdisciplinary applications of time-series analysis. Key areas include schizophrenia pathophysiology, sleep-wake dynamics, and network-based approaches to mental health. His platform www.comp-engine.org/timeseries provides a collaborative resource for time-series analysis methods.
Projects: He leads projects like 'From brain maps to mechanisms: modeling schizophrenia pathophysiology' (NHMRC-funded, 2015-2017) and collaborates on initiatives such as 'Integrating theory-guided and data-driven approaches for measuring consciousness' (NHMRC, 2020-2024). These projects address consciousness measurement, circadian rhythm biomarkers, and schizophrenia modeling.
Publications: Over 50 peer-reviewed articles focus on brain dynamics, schizophrenia, and sleep modeling. Recent work includes geometric constraints in brain function (Nature, 2023) and network-based analysis of psychosis progression (JAMA Psychiatry, 2023).
Awards: NHMRC Early Career Fellowship (2015-2017). His work aligns with UN Sustainable Development Goals related to health and well-being.
Labs & Teams: Active in the BMH Lab and collaborates internationally with institutions like Oxford and Monash's MCIN (Clinical & Imaging Neuroscience).
