I am a quantum scientist at Xanadu studying quantum machine learning. I was previously a postdoc and PhD student at University of Waterloo studying machine learning for error correction and other topics at the intersection of quantum information and learning theory.

Select publications

  • Trapped by simplicity: When Transformers fail to learn from noisy features. (ICLR 2026)
  • Sample importance for data-driven decoding. 2505.22741 (2025).
  • Generalization despite overfitting in quantum machine learning models. Quantum 7 (2023).
  • Qubit assignment using time reversal. PRX Quantum (2022).

Complete list: Google Scholar.

Other writing/research