Zachary Novack
Scholar

Zachary Novack

Google Scholar ID: fZKJdb0AAAAJ
CS PhD Student, UC - San Diego
music generationdiffusion modelsmultimodality
Citations & Impact
All-time
Citations
277
 
H-index
6
 
i10-index
6
 
Publications
20
 
Co-authors
50
list available
Resume (English only)
Academic Achievements
  • Published papers at conferences such as ICML 2024 (Oral), ISMIR 2025, ICLR 2025 (Spotlight), WASPAA 2025, and more; Won the Best Paper Award at ISMIR 2025.
Research Experience
  • Extensive research experience in interactive generative audio/music systems, multi-modal text-audio reasoning, and accelerating audio generation models. Interned as a Research Scientist at Adobe Research Audio Group.
Education
  • PhD: UC San Diego, advised by Prof. Julian McAuley and Prof. Taylor Berg-Kirkpatrick; Statistics and Machine Learning: Carnegie Mellon University, primarily advised by Prof. Zachary Lipton and Prof. Simon DeDeo.
Background
  • Research Interests: Interactive Generative Audio/Music systems, focusing on controllability and efficiency; Field: Computer Science; Background: Currently a PhD candidate in Computer Science at UC San Diego.
Miscellany
  • Hobbies: Cooking, playing beach volleyball, and teaching the front ensemble at POW Percussion Ensemble.