Pranav Rajan

Hej! I’m an MSc. Machine Learning student in the School of Electrical Engineering and Computer Science at the KTH Royal Institute of Technology. I am currently working on my masters thesis on music synchronization and score-following advised by Bob Sturm from the Department of Speech, Music Hearing and examined by Hedvig Kjellström from the Department of Robotics, Perception and Learning. During the summer of 2026 I was a summer student worker supervised by Johan Boye from the Department of Speech, Music Hearing and Matias Nyberg from the Department of Mechatronics on the ASAP(AI Agent for Stochastic Adaptive Planning) Project. My current research interests include music synchronization, music processing, music information retrieval, creativity, human-ai interaction, computational musicology, computer systems(machine learning).

I did my undergraduate degree at the University of Utah, where I majored in computer science and studied piano performance. As a member of the Visualization Design Lab I worked on tools for task driven analysis of multivariate networks. Additionally I participated in projects led by faculty from the University of Utah Scientific Computing and Imaging Institute related to public transportation and mental health.

Inspired by all the wonderful teachers and people I’ve met, I maintain(when I have the time) Technical Reference a list of resources on audio, machine learning, computer science, financial literacy and other topics of interest. When not at the computer you can find me at the piano, outdoors, board game nights, and organizing events with friends.

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