Vijaya Kolachalama is an Assistant Professor within the Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine. Research in his group is focused on developing deep learning algorithms for disease risk assessment as well as biomarker development and designing software technologies to assist therapeutic development and clinical decision-making. Current projects include development of fully convolutional networks and multimodal fusion models to predict the risk of Alzheimer’s disease and osteoarthritis using digital data such as MR imaging, and computer vision related tasks such as semantic segmentation, image classification and object detection for digital pathology applications. His group is also developing recurrent neural network approaches for protein sequence analysis. Before joining Boston University, Dr. Kolachalama held appointments as a Postdoctoral Associate at MIT, as an ORISE Fellow at the US Food and Drug Administration, and as a Principal Member of Technical Staff at the Charles Stark Draper Laboratory. He has a bachelor’s degree in Aerospace Engineering from the Indian Institute of Technology, Kharagpur, India and a PhD in Mechanical Engineering from the University of Southampton, UK. He recent accomplishments include recognition as Research Fellow and Junior Faculty Fellow by Boston University’s Hariri Institute of Computing and Fellow by Boston University’s Institute for Health System Innovation & Policy.