Hadeel Al-Negheimish

I am an Ibn Khaldun postdoctoral research fellow at MIT's Computer Science and Artificial Intelligence Lab (CSAIL), where I work under the mentorship of Yoon Kim. Additionally, I hold an appointment as an Assistant Professor in the Computer Science Department at King Saud University.


I completed my Ph.D. at Imperial College London, advised by Alessandra Russo and Pranava Madhyastha. My thesis focused on numerical reasoning for machine reading comprehension. During my studies, I was fortunate to have spent the Summer of 2022 as a Research Scientist Intern at Google Deepmind, working with the Cognition team. Previously, I have earned an M.Sc. with a specialism in AI from Imperial College London, and a B.Sc. in Computer and Information Sciences from King Saud University.


Outside of the lab, I love bringing people together, baking delicious (gluten-free) treats, and making wonky ceramics. I also enjoy being in nature and when weather permits, can be found rowing in the Charles.



Research Interests

My research lies broadly at the intersection of machine learning and natural language processing. I aim to build systems that generally and compositionally understand natural language. These systems must be faithful to a given context, reliable when they answer, and transparent; it is not enough to see an answer, we must also be able to see how it was derived. Achieving this goal goes hand in hand with developing better approaches to evaluate and characterise model behaviour. I am specifically interested in evaluating models' capability for reasoning and facilitating compositional and interpretable reasoning with neuro-symbolic approaches.

If you're working on similar topics, I'd love to hear from you and discuss new ideas in this space. Please feel free to reach out!

I"m also recruiting MIT UROPs for summer 2025. If you're an undergraduate at MIT and interested in this line of work, please send me an email with a summary of your interests and experience.

Selected Publications

Most recent publications on Google Scholar.

Augmenting Large Language Models with Symbolic Rule Learning for Robust Numerical Reasoning

Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo

The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS, 2023

Towards preserving word order importance through Forced Invalidation

Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo

The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.

Numerical reasoning in machine reading comprehension tasks: are we there yet?

Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo

The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Discrete Reasoning Templates for Natural Language Understanding

Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo

The 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL SRW), 2021.

Surface and Deep Features Ensemble for Sentiment Analysis of Arabic Tweets

Nora Al-Twairesh, Hadeel Al-Negheimish

IEEE Access, 2019