Joshua Ong

Incoming PhD Student @ Imperial College London.

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I am an incoming PhD student at Imperial College London, fortunate to be advised by Dr. Eleonora Giunchiglia. I also collaborate closely with Dr. Pasquale Minervini. Prior to joining Imperial, I was a visiting researcher under the supervision of Dr. Shay Cohen and Dr. Wenda Li, and obtained a BSc in Mathematics and Statistics from the University of Edinburgh.

My research focuses on natural language processing and machine learning, with a particular interest in understanding and improving the reasoning capabilities of large language models (LLMs) through neurosymbolic approaches. My goal is to ensure LLMs generate reasoning in a trustworthy, safe and controllable manner.

As someone who understands the (extreme) difficulty of stepping into research and applying for PhD/Master’s programs these days, I’d love to dedicate some time to anyone who wants to chat or seek advice about anything related to the process. Feel free to reach out if you’d love to discuss or collaborate on projects, I’m more than happy to help!

I am actively looking for internship opportunities for 2026. Feel free to reach out to me if there are any interesting or suitable positions!

news

Sep 01, 2025 Do check out our recent work on PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains🔥
Aug 21, 2025 CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning has been accepted at EMNLP 2025 (Main).
Jul 11, 2025 I gave an invited talk at NEC Laboratories Europe on “Autoformalisation and Symbolic Reasoning for Mathematical Reasoning”. [Link]
Jul 02, 2025 I will be going to ACL 2025 in Vienna. Feel free to reach out if you’d like to meet or discuss interesting topics!
May 16, 2025 Theorem Prover as a Judge for Synthetic Data Generation has been accepted at ACL 2025 (Main).