Dr. Marius de Groot is the director of clinical image analysis and analytics at GlaxoSmithKline. In this role, Marius helps identify and plan promising machine learning and algorithm development opportunities with clinical trial imaging data, mainly in oncology. With an academic background in algorithm development and applications in population-based neuroimaging, he also enjoys supporting study teams with neuroimaging requirements. Marius joined GSK in 2015, in a shared postdoc position with the University of Cambridge focusing on multimodal image analysis. This position taught Marius how imaging and image analysis in particular can be used in pharmaceutical research. Since joining as a staff scientist at GSK, he is still engaged in academic imaging research and collaborates with multiple universities internationally. Marius lives together with his wife and their 2-year-old daughter in Rotterdam. This talk will be around the interesting topic of “Clinical Imaging and Machine Learning in Drug Development” (read the abstract).
Thomas Yeo is an Associate Professor at the National University of Singapore (NUS) and an affiliated faculty at the Athinoula A. Martinos Center for Biomedical Imaging (Harvard Medical School). Thomas received his B.S. and M.S. from Stanford University and his Ph.D. from the Massachusetts Institute of Technology. Prior to NUS, Thomas was a research fellow at Harvard University and Duke-NUS Medical School. Thomas’s lab develops machine learning algorithms to generate scientific discoveries from large-scale datasets comprising thousands of subjects with brain magnetic resonance imaging (MRI), behavioral, genetic, and other physiological measures. By exploring large multi-modal datasets, he seeks to discover fundamental principles of brain network organization, how brain networks are organized to support cognition, and how brain networks are disrupted in mental disorders. Thomas is a senior editor at NeuroImage. He was a recipient of the MICCAI Young Scientist Award (2007), the MICCAI Young Investigator Publication Impact Award (2011), and the OHBM Early Career Investigator Award (2019). Prof. Yeo will talk about “ Organization of Large-Scale Networks in the Human Cerebral Cortex” (see this link for the abstract).