My work concerns the design of models and algorithms that learn to represent, understand, and generate language data. Examples of specific problems I am interested in include language modelling, machine translation, syntactic parsing, textual entailment, text classification, and question answering.
I also develop techniques to approach general machine learning problems such as probabilistic inference, gradient and density estimation.
My interests sit at the intersection of disciplines such as statistis, machine learning, approximate inference, global optimisation, formal languages, and computational linguistics.
I often serve on the program committee of ML/CL/NLP/MT conferences
- ML conferences: NeurIPS, ICML, ICLR
- CL/NLP conferences: ACL, EMNLP, NAACL, Coling, IJCNLP, CoNLL
- MT conferences: WMT, EAMT, AMTA, MT Summit
including as area chair
- *SEM2019 (machine learning for NLP)
- ACL2020 (machine learning for NLP), ACL2021 (machine translation and multilinguality)
- ICRL2021 (outstanding area chair)
and I also review for CL/NLP/MT journals
- Natural Language Engineering
- Machine Translation
I am a standing reviewer and action editor for ARR.
In January 2019 I joined the faculty of science (FNWI at UvA) as assistant professor, before that I was a research associate at the ILLC working with Prof Khalil Sima’an at the Statistical Language Processing and Learning Lab from January 2014 to December 2018.
I obtained my PhD from the University of Wolverhampton (UK) in February 2014.
In 2010, I obtained my BSc degree in Computer Engineering from the Engineering School of the University of Sao Paulo (Brazil).