Dr Aland Astudillo's background is in biomedical engineering, neuroscience, and machine learning. He finished his studies in BSc. in Biomedical Engineering and MSc. Biomedical Engineering at Universidad de Valparaiso, Valparaiso, Chile in 2012. He contributed in projects in industry and research. Specifically, he worked in the areas of medical technology and public health in industry space, and in research in the areas of computational neuroscience and vision. He received his PhD. in Biophysics and Computational Biology in 2023 in Universidad de Valparaiso, Chile working in brain activity modelling. Since 2023 he has worked in NICM Health Research Institute contributing in projects related to cognition and dementia.

Dr Aland Astudillo is a dedicated researcher with a focus on computational neuroscience, machine learning, and cognitive neuroscience. His research focuses on characterising brain activity and understanding the underlying mechanisms of cognitive decline, particularly in dementia, Mild Cognitive Impairment (MCI), and Parkinson’s Disease (PD). He uses advanced data analysis techniques and machine learning algorithms for brain activity data, and he aims to develop innovative tools for early diagnosis and intervention. His work looks for making a contribution to a deeper understanding of brain activity patterns and their association with cognitive impairment.