About
P.M. Neague is a Researcher affiliated with the College of Electrical Engineering, Mathematics and Computer Science, specializing in the Data-Intensive Systems department. His work bridges technical domains, focusing on scalable data processing and information retrieval.
Research interests:
- Data Science
- Information Retrieval
- Distributed Systems
- Machine Learning
- Computer Science
- Physics
Recent research trends include decentralized search algorithms and differentiable data indexing, reflecting his contributions to optimizing data retrieval accuracy and system scalability.
Collaborations and teams: Neague collaborates on data-intensive projects, contributing to advancements in distributed machine learning frameworks.
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