About Me

I am a Machine Learning Researcher at Jukedeck where I contribute to the design and development of an ingenious AI music composer which employs a range of computational techniques to automatically generate music of different moods and styles. I urge you to give it a try on our website!


I was awarded a doctorate degree (PhD) in Computer Science in July 2016 by City University London under the supervision of Artur Garcez and Tillman Weyde. My research involved the development of novel Neural Network based Machine Learning models, as well as the use of existing ones to learn temporal patterns in musical scores and also to classify non-musical data.


I received a master's degree (MSc) from the Music Technology Group at Universitat Pompeu Fabra. I hold a bachelor's degree (B.Tech.) in Computer Science and Engineering from the International Institute of Information Technology - Hyderabad.


I have previously worked at Siemens Corporate Technology - India as a Research Engineer (2007-10), on human action recognition in video and event detection in environmental audio among other video and audio analysis topics. I was a Research Assistant (2011-2012) at the Technologies for Acoustics and Audio Processing (TAAP) lab at Simon Fraser University where I worked on digital waveguide synthesis techniques for the tenor saxophone. I also did a brief internship at PMC Technologies (2011) during which I assisted with work on regression methods for failure prediction in manufacturing units in the semi-conductor industry.


I enjoy playing the guitar and have been playing mostly rock and heavy metal music for several years now as a hobby. I also hold a Grade 6 certification in Electric Guitar awarded by Rock School.

Srikanth Cherla