Generate a tailored SOP for Dr. Sarthak Yadav. Improve your application with a focused, well-structured draft.
Sarthak Yadav is a PhD student specializing in self-supervised learning and general-purpose audio representations. His research focuses on training large-scale deep neural networks on unlabelled audio data. He is affiliated with the Signals Decoding collaboratory at the Pioneer Center for Artificial Intelligence in Copenhagen. Yadav holds a Master of Science in Computer Science from the University of Glasgow, where he developed skills in interpreting intermediate feature representations and utilizing raw-waveform deep convolutional neural networks for sonification. His undergraduate degree is a Bachelor of Technology in Computer Science Engineering from APJ Abdul Kalam Technological University. Yadav has held various research positions and has recently completed a research internship at IDIAP Research Institute and served as a Lead Research Engineer at Staqu Technologies.
IDIAP Research Institute •
Staqu Technologies •
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.