Ramji Venkataramanan is a University Lecturer in Information Engineering at the University of Cambridge. He is also a Fellow and Director of Studies at Trinity Hall. He received his PhD in electrical engineering (systems) from the University of Michigan, Ann Arbor in 2008, and his undergraduate degree from the Indian Institute of Technology, Madras in 2002. Before joining Cambridge University in 2013, he held post-doctoral positions at Stanford University and Yale University.
Ramji's research interests are broadly in the areas of information theory, statistical learning, and inference. A recent focus of his work has been on designing efficient message passing algorithms for high-dimensional statistical problems such as matrix factorisation, compressed sensing and phase retrieval. He hopes to collaborate with Turing researchers in areas such as computational biology and social science to explore new applications of these algorithms. He is also interested in understanding the fundamental limits of machine learning algorithms. For example, questions such as: How fast can the accuracy of any algorithm improve as the size of the training data grows?