Daniel Yang
Ph.D. Student, Computer Science
USC Viterbi School of Engineering
Email: dyang165@usc.edu
Daniel Yang is a PhD Student at USC’s Signal Analysis and Interpretation Laboratory. He is a National Science Foundation Research Fellow whose interests include multimodal artificial intelligence and human-centric computing. He has published multiple papers on the intersection of music and AI on topics such as multimodal alignment, retrieval, and symbolic sequence modeling. His current interests are in adding inductive biases to multimodal transformers to better reflect the rich, diverse relationships that arise from multimodal data.
