I am a PhD Student in Natural Language Processing at the University of Sheffield, under the supervision of Prof. Lucia Specia.
My current research is focused on exploring the use of acoustic information to improve the performance of multimodal NLP tasks -- focusing particularly on Machine Translation.
From Jul/2018 to Jan/2019, I was a Speech Scientist Intern at Amazon Research (Cambridge). I worked on the Natural Language Understanding team under the supervision of José Luis Redondo García.
My internship project was focused on multilingual learning for low-shot intent classification.
I obtained my M.Sc. in Computer Science and Computational Mathematics at the University of São Paulo, under the supervision
of Prof. Maria das Graças Volpe Nunes. My dissertation topic was Text Normalisation of User-generated Content for Portuguese. I
worked on text normalisation methods based mostly on deep learning architectures and word embeddings similarity. As part of
my research, I developed a free and open-source tool called Enelvo – a flexible text normaliser for user-generated texts written in
Portuguese. I also built an annotated corpus of non-standard words in different domains.
I took my bachelor’s degree in Computer Science at the Western Paraná State University, with one year spent abroad at Katholieke
Universiteit Leuven, in Belgium. During this period, I worked on various topics – including computational epidemiology, ensembles
of neural networks, and sentiment analysis. Upon graduation, I was awarded the prizes of Best Computer Science Graduate of 2015
and Outstanding Student in 2015, granted by the Brazilian Society for Computing.