Saumya Pailwan

Saumya Pailwan is a Master’s student in Computer Science at Northwestern University and a member of the Interactive Audio Lab. Her research interests include machine learning, audio, and generative models, with current work focused on improving symbolic music generation using discrete diffusion and remasking strategies. In her free time, she enjoys listening to music and exploring how artistic forms can inform new directions in technology.