I’m a postdoctoral researcher at the Data-Centric Computing group at Barcelona Supercomputing Center. I am currently the local PI of the EU Horizon OptimAIse project, where I work on improving the orchestration of modern AI systems on resource-constrained devices through energy-aware policies.

My research addresses the efficient and secure deployment of large-scale distributed AI systems. My research background includes a postdoctoral visit to Imperial College London under Prof. Peter Pietzuch, PhD internships at IBM Research (T.J. Watson and Ireland), an academic exchange at DTU in Denmark, and a fellowship as an Openlab Summer Student at CERN.

Selected publications:

• [CLOUD’25] Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference (arXiv)
  Pol G Recasens, Ferran Agullo, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Jordi Torres, Josep Ll Berral

• [EuroMLSys’24] Towards Pareto Optimal Throughput in Small Language Model Serving (arXiv)
  Pol G Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll Berral

• [NeurIPS’23] On masked pre-training and the marginal likelihood (arXiv)
  P Moreno-Muñoz, P Garcia Recasens, S Hauberg

In the past, I received a MSc in Data Science and BSc in Informatics Engineering from the Technical University of Catalonia (UPC). I also worked as a researcher for the Barcelona Supercomputing Center (BSC) and Denmark Technical University (DTU).

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For further details, visit any of the following sections:

• Publications - updated publication list
• Teaching - teaching, talks and mentoring experience
• Work - past and current work experience
• Education - past education
• Contact - contact information

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