Eric Price

Eric Price is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. He received his undergraduate and graduate degrees from MIT under the advisement of Piotr Indyk, and held postdoctoral positions at the Simons Institute (Berkeley) and IBM Almaden Research Center before joining UT in Fall 2014. Starting Fall 2024, he is on leave at Microsoft AI.

• Education:
  • MIT (Undergraduate and Graduate), advised by Piotr Indyk
• Research Interests:
  • Theoretical computer science, focusing on data-limited computational problems
  • Algorithms and lower bounds for sparse recovery, streaming, and compressed sensing
  • Integrating deep learning with traditional signal processing
  • Provably efficient methods for high-dimensional estimation
  • Connections between neural networks and algorithmic analysis
  • Computational limits of modern architectures
• Article Trends:
  • Recent work spans attention mechanisms, diffusion models, and LoRA fine-tuning
  • Focus on theoretical guarantees for generative models, gradient dynamics, and security analysis
  • Active in improving efficiency and robustness of AI systems
  • Benchmark design for evaluating model limitations
• Scientific Awards:
  • SODA Best Student Paper (2014)
  • George M. Sprowls Award (2013)
  • Simons Graduate Fellowship (2012)
  • NSF Graduate Research Fellowship (2009)
  • Multiple math/CS competition accolades
• Advising:
  • PhD advisee Zhao Song (2019)