Joseph Imperial
Scholar

Joseph Imperial

Google Scholar ID: irs_5ekAAAAJ
University of Bath, National University Philippines
AI SafetyTechnical AlignmentMachine LearningNatural Language Processing
Citations & Impact
All-time
Citations
721
 
H-index
12
 
i10-index
17
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted at EMNLP 2025, ACL 2025, and other international conferences; served as an Area Chair for NeurIPS 2025 Position Papers Track; received Best Reviewer Award at ICML 2024; awarded the Doctoral Recognition Award 2024 by the University of Bath Doctoral College.
Research Experience
  • Conducting state-of-the-art research in Natural Language Processing (NLP) and Machine Learning (ML). Involved in multiple research projects such as FilBench, UniversalCEFR, etc.
Education
  • Pursuing a Ph.D. at the University of Bath, affiliated with the Human Language Technology (HLT) Lab in the Department of Computer Science at National University, Philippines, as an NLP researcher.
Background
  • UKRI CDT Doctoral Researcher at the University of Bath's Integrated Ph.D. Program in Accountable, Responsible, and Transparent AI (ART-AI). Research interests include aligning, controlling, and standardizing generative AI; benchmarking capabilities, safety, and potential risks of generative AI; building multilingual low-resource language corpora.
Miscellany
  • Originally from the Philippines, currently based in the UK to complete his Ph.D. studies. Joined the British Standards Institution (BSI) as a committee member and UK national expert for the AI working group, ART/1. Invited speaker at Meta's Open Innovation AI Research Community (OIAIRC) Annual Research Workshop.