Scholar
Lucas Monteiro Paes
Google Scholar ID: ruB-9hwAAAAJ
Apple Machine Learning Research
Citations & Impact
Citations
107
H-index
6
i10-index
6
Publications
13
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at conferences such as ACL, ACM FAccT, NeurIPS, with the paper 'AI Alignment at Your Discretion' winning the Best Paper Award at the New England NLP workshop; involved in several research projects including MExGen: Multi-Level Explanations for Generative Language Models, Selective Explanations, etc.
Research Experience
- Postdoctoral Researcher (AI Resident) at Apple’s Machine Learning Research team, Student Researcher at Google DeepMind, and AI Research Scientist Intern at IBM T.J. Watson Research Center.
Education
- PhD in Applied Mathematics from Harvard University (Advisor: Flavio Calmon), M.S. in Computational Mathematics and Modeling from Instituto de Matemática Pura e Aplicada (IMPA).
Background
- AI researcher and mathematician. Research interests include developing safe and trustworthy AI and ML systems, believing that these systems should not only be accurate and efficient but also transparent, fair, and aligned with human values and societal norms.
