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.
Blog
- Beyond verification: Adjudication for autonomous research
- AI-generated research papers probably won't become widespread
- The rising tide
- Is QEC eating quantum?
- Survival of the Firstest: arXiv's positional effect on quant-ph citations
- Early bird gets the worm: Analyzing quant-ph arXiv submission timing