Gustavo Sudre, PhD, is the Rosetrees Pears Chair of Bioinformatics and Professor of Genomic Neuroimaging and Artificial Intelligence at the Institute of Psychiatry, Psychology & Neuroscience at King's College London, having joined in September 2024. He is an expert in neuroimaging, genomics, and machine learning, with a research focus on integrating these disciplines to better understand neurodevelopmental disorders, particularly Attention Deficit Hyperactivity Disorder (ADHD). He is also an affiliate of King’s Institute for Artificial Intelligence.

Dr. Sudre’s research includes significant work at the National Human Genome Research Institute (NHGRI, part of the National Institutes of Health - NIH), where he has developed novel machine learning approaches to identify neural and genomic biomarkers of ADHD. These efforts have resulted in publications in leading journals such as PNAS, Biological Psychiatry, Molecular Psychiatry, and JAMA Psychiatry.

Dr. Sudre holds a PhD in Neural Computation and Machine Learning from Carnegie Mellon University and an MS in Bioengineering with a focus on Neuroengineering from the University of Pittsburgh. His academic journey began with a BS in Computer Science from the University of Kansas, where he graduated summa cum laude.

Before joining King’s, Dr. Sudre had an extensive research career at NIH, where his long-standing collaboration with Professor Philip Shaw resulted in substantive contributions to genomics and neuroimaging research to advance the understanding of childhood ADHD. His work leverages large datasets and innovative computational techniques to uncover neural and genetic insights relevant to clinical practice.

Dr. Sudre has also taught machine learning and statistical methods at NIH and developed neuroimaging tutorials for institutions such as the University of Aarhus. His teaching integrates cutting-edge research with practical applications for clinical research.

Throughout his career, Dr. Sudre has received multiple awards, including the NHGRI Intramural Research Award. He has also played a leadership role in promoting the use of deep learning and machine learning in medical imaging.

Professor Gustavo Sudre’s research focuses on the intersection of neuroimaging, genomics, and computational methods to understand neurodevelopmental disorders, particularly ADHD. His work aims to uncover the biological basis of these conditions and translate findings into clinical applications. Dr. Sudre also supervises PhD students, guiding research in these cutting-edge areas.

• Neuroimaging of neurodevelopmental disorders (ADHD, ASD)
• Integration of genomics and brain imaging techniques
• Machine learning applications in neuroscience
• Analysis of large-scale, multi-cohort neuroimaging datasets
• Gene expression and chromatin structure in neuropsychiatric conditions
• Development of computational tools for clinical translation in psychiatry
• Multi-modal brain imaging, including fMRI, MEG, and EEG
• Bioinformatics approaches in genomics and psychiatry