Vijaya Kolachalama

Assistant Professor, Boston University School of Medicine; Department of Computer Science, Boston University;
Founding Member, Boston University Faculty of Computing & Data Sciences

72 E. Concord Street, Evans 636, Boston, MA – 02118


Dr. Vijaya B. Kolachalama was born in India and completed his undergraduate studies at the Indian Institute of Technology, Kharagpur in 2002. He then obtained a PhD degree from the University of Southampton, UK in 2006. Before joining Boston University, he held multiple appointments including Principal Member of Technical Staff at Charles Stark Draper Laboratory, ORISE Fellow at the United States Food and Drug Administration and Postdoctoral Associate at Massachusetts Institute of Technology.

Research and teaching interests

Dr. Kolachalama is a computer scientist with a laboratory focused on developing advanced machine learning and image processing algorithms and designing software technologies that have diagnostic relevance. He is also the course director and primary instructor of Machine Learning for Biomedical Applications, taught within the Graduate Medical Sciences program at Boston University School of Medicine. He is also a Founding Member of the newly formed Faculty of Computing & Data Sciences at Boston University.

Awards and memberships

Dr. Kolachalama has received the following awards: Postgraduate student fellowship from the School of Engineering Sciences at the University of Southampton, Young Researcher Fellowship from the Massachusetts Institute of Technology, ORISE Fellowship from the United States Food and Drug Administration, Junior Faculty Fellow Award from the Hariri Institute for Computing and Computational Science & Engineering, Boston University, Travel Awards from the NIH, and Research Awards from Boston University’s Clinical and Translational Institute, Hariri Institute for Computing and Computational Science & Engineering and the Institute for Health System Innovation & Policy. Dr. Kolachalama is a Fellow of the American Heart Association.

Lab website


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