Ricardo Rei
Scholar

Ricardo Rei

Google Scholar ID: jf4S4tsAAAAJ
Sword Health
Healthcare AIMachine LearningNatural Language ProcessingLarge Language Models
Citations & Impact
All-time
Citations
3,901
 
H-index
22
 
i10-index
37
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Received the EAMT 2024 Best Thesis Award at MT Summit 2025; received the EAMT Best Thesis award in April 2025; published several papers, including 'Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs'.
Research Experience
  • Currently co-advising PhD students working on LLM evaluation, post-training, and culturally-informed AI agents. Previously led research at Unbabel on multilingual LLMs, including LLM evaluation, post-training techniques, and advancing machine translation capabilities across languages.
Education
  • Completed his PhD at Instituto Superior Técnico (IST), University of Lisbon, with a focus on machine translation evaluation, graduating Summa cum laude. His doctoral work was part of a collaborative program between Unbabel, IST, and Carnegie Mellon University (CMU) known as Multilingual AI Agents Assistants (MAIA).
Background
  • Head of AI Research at Sword Health, focusing on developing multimodal foundational models for the healthcare sector. Previously, a Senior Research Scientist at Unbabel, leading research on multilingual Large Language Models.
Miscellany
  • Personal interests and hobbies not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)