About

I am a PhD candidate at the School of Computing Technologies, RMIT University, working on AI for Quantum and Quantum for RecSys. My work aims to get reliable results from limited quantum hardware: fewer qubits, fewer shots and fewer VQE calls.

News

  • Converted from Master by Research to PhD at RMIT.
  • FunnelAudit preprint on arXiv.
  • PDQUBO published in ACM TORS.
  • HamQASBench and DreamQAS preprints on arXiv.
  • HyRLQAS preprint on arXiv.
  • Q-EVT short paper at RecSys 2025.

Publications

My name is in bold. The full list is on Google Scholar.

AI for Quantum

E(θ) = ⟨ψ(θ)| H |ψ(θ)⟩

Reinforcement learning for quantum architecture search.

Quantum for RecSys

minx xᵀQx,  x ∈ {0,1}ⁿ

Quantum optimisation for recommender systems on today’s quantum hardware.

Other recommender systems work

Education and experience

  • Oct 2026 – May 2029 (expected)
    Doctor of Philosophy School of Computing Technologies, RMIT University
  • May 2025 – Oct 2026
    Master by Research School of Computing Technologies, RMIT University Full scholarship. Converted to PhD.
  • Jul 2024 – May 2025
    Honours in Computer Science School of Computing Technologies, RMIT University Moved to Master by Research.
  • Oct 2023 – Jul 2024
    Remote Research Intern RMIT University
  • Sep 2019 – Jul 2023
    Bachelor of Science Information and Computing Science, College of Science, North China University of Science and Technology

Research assistant

A tabby cat resting on top of a cat tree by a tall window at sunset.
On watch by the window.
A tabby cat sitting on a bed, looking intently at an open laptop.
Reviewing a draft.