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Resume (English only)
Academic Achievements
- Published several papers in top-tier conferences like ECAI, EMNLP, etc.
- Contributed to Gemini 1.5 and Gemini 2.5 tech reports
- Won the Zero-Shot MMNLU-22 Semantic Parsing Challenge
- Co-author of the XTREME-UP benchmark
Research Experience
- Research Engineer at Google DeepMind, focusing on multimodal understanding capabilities
- Contribution to Gemini models, particularly in object detection and localization for non-natural images
- Worked on multilinguality, especially on synthetic data creation for resource-scarce languages
- Participated in multiple international conferences and workshops, including ACL, EMNLP, etc.
Education
PhD from the University of Trento, focusing on structural kernels and deep learning methods for Question Answering (QA).
Background
Research Interests: Multimodal understanding capabilities, especially for non-natural images such as charts and infographics. Professional field: Large language models, multilinguality, synthetic data creation.
Miscellany
Personal Interest: Mental Health First Aid certification