Antonio Mallia

Research scientist

Antonio explores new techniques and architectures for large-scale search engines, including indexing, compression, and retrieval. He contributes to the Academic and Open Source community. 

Biography

Currently pursuing a Ph.D. at the New York University with a focus on advancing efficiency in Information Retrieval for large-scale systems, Antonio is part of the Web Exploration and Search Technology Lab, led by professor Torsten Suel, where he explores new techniques and architectures for large-scale search engines, including indexing, compression, and retrieval. He is passionate about algorithms, data structures, distributed systems and software design. More recently Antonio has worked on applying deep learning to IR.    
Also, he is part of the information retrieval research community and has presented his work at international conferences such as SIGIR, WSDM, CIKM, ECIR.
Previously Antonio has worked for CNR (Italian National Research Council), Bloomberg LP and Amazon.

Expertise

Information Retrieval

Machine Learning

Algorithm Design

High Performance Computing

Research Topics

✓ Query Processing
✓ Index Compression
✓ Ranking Relevance 
✓ Neural IR

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