A graduate from IIT, Chennai in electronics and communication engineering, Srikumar received his Ph.D. in 2013 from the department of Communications and New Media, National University of Singapore (NUS), for his research under Dr. Lonce Wyse and Dr. Kevin McGee, culminating in a thesis titled “Modeling Gamakas of Carnatic Music as a Synthesizer for Sparse Prescriptive Notation.” and his M.Sc. in 2000 from NUS for work in algorithmic music composition under Dr. Peter Kellock, dissertation titled “Representing and Manipulating Musical Rhythm: A Pulse-Form Approach”. He learnt to play the veena from his father Dr. Karaikudi S. Subramanian, which lineage drives his current research interests. He’s had more than a decade of experience in the industry working on artistic uses of audio and video technology, with much of the work done at muvee Technologies Pte. Ltd. in Singapore (2002-2011). He has worked on music and video analysis algorithms, algorithms for automatically constructing music videos from photos and raw video content, a real-time rendering system for these music videos, and created a programming language called “muSE” (a dialect of the Scheme programming language in the LiSP family) for describing the construction of such videos. Apart from playing the veena and singing, his interests include music of all kinds, programming languages, music education, computational musicology, music technology, mountains trekking, curd rice and filter coffee.