Andrew Parry
I am an Engineer at Bloomberg LP and a 4th year PhD Candidate at the University of Glasgow working within the IR group. I am supervised by Dr Debasis Ganguly and Dr Sean MacAvaney. My work is currently supported by the Bloomberg PhD Data Science Fellowship. My research interests are primarily in Information Retrieval. Before my PhD I completed my honours degree in Computer Science at Glasgow.
My thesis is focused on the structure of ad-hoc ranking systems and how we can incorporate broader features in semantic interactions. A relatively up to date CV can be found here. Reach out on Twitter or by email if you want to chat about research or code. I’m generally interested in collaborations centred around modern IR evaluation and anything neural IR.
news
| Mar 09, 2026 | I have joined Bloomberg LP ENG |
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| Dec 16, 2025 | Our demo paper is accepted at ECIR 2026! |
| Jun 23, 2025 | I interned at Bloomberg LP over the summer. |
| Apr 05, 2025 | Our reproducibility paper, short paper and demo paper are accepted at SIGIR 2025! |
| Mar 10, 2025 | Our workshop paper “Corpora Performance Prediction” is accepted at QPP++@ECIR2025! |
selected publications
- MechIR: A Mechanistic Interpretability Framework for Information RetrievalIn Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V , 2025
- Variations in Relevance Judgments and the Shelf Life of Test CollectionsCoRR, 2025
- Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance ModelsIn Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II , 2024
- Top-Down Partitioning for Efficient List-Wise RankingCoRR, 2024