Selected Publications: 'Learning to Upsample and Upmix Audio in the Latent Domain', 'Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders', etc.
Awards: Best Paper Award for 'Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders'
Research Experience
Research Scientist/Engineer Intern at Adobe, Summer 2025; Fall 2024 (Remote), Summer 2024
Research Intern at Mitsubishi Electric Research Laboratories (MERL), Summer 2023
Undergraduate Research Intern at University of Illinois Urbana-Champaign, Fall 2020
Education
PhD in Computer Science, University of Illinois Urbana-Champaign (UIUC), Aug. 2022 - May 2027 (Expected)
Diploma in Electrical and Computer Engineering, National Technical University of Athens, Oct. 2016 - May 2022
Background
PhD student at UIUC, advised by Paris Smaragdis. Research focuses on representation learning and generative modeling for audio, with a common theme of doing more in the latent-space.