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Hi, welcome to my academic personal webpage!
Short bio: Currently working at Huawei Research Centre in Helsinki. I did my PhD at the Language Intelligence and Information Retrieval group (LIIR) at KU Leuven, under the supervision of Prof. Sien Moens. My PhD was at the intersection of deep learning, natural language processing (NLP) and computer vision (CV), where I built machine learning models to improve automatic natural language understanding by leveraging vision. In 2017 I was a visiting researcher at the Computer Vision Lab in ETH under the supervision of Prof. Luc Van Gool, and a research intern at Lawrence Livermore National Lab during that same year. Before my PhD, I did a 2-year research master in neuroeconomics at Maastricht University and spent my second year doing machine learning research at MIT Sloan Neuroeconomics lab. with Prof. Drazen Prelec. Before that, I obtained both a BSc in Mathematics and a BSc in Psychology at the Autonomous University of Barcelona (UAB).
Profiles: linkedin, researchgate, github, google scholar, twitter
News!
April 2018: Paper accepted at ACL 2018! I'll be presenting "Do Neural Network Cross-Modal Mappings Really Bridge Modalities?" as an oral and Honorable Mention Award [ link ]
April 2018: Excited to announce that I'm one of the 200 Young Researchers selected to participate in the Heidelberg Laureate Forum 2018 where we get to meet and discuss with recipients of the Fields Medal, Turing Award and Abel Prize.
Nov 2017: Paper accepted at AAAI 2018. I'll be presenting "Acquiring common sense spatial knowledge through implicit spatial templates. AAAI Conference on Artificial Intelligence" as an oral. [ link ]
Nov 2017: Paper accepted at TACL "Learning representations specialized in spatial knowledge: Leveraging language and vision"
Sep 2017: I will be interning at Lawrence Livermore National Lab in Oct 2017!
Sep 2017: Paper accepted at Neurocomputing!
June 2017: I will be visiting the Computer Vision Lab in ETH Zurich for 3 months, starting in June.
Nov 2016: Paper accepted at AAAI 2017! I'll be presenting: Imagined Visual Representations as Multimodal Embeddings. [ link ].
Oct 2016: Paper accepted at NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks.
Sep 2016: Paper accepted at COLING 2016!
July 2016: New media article covering my publication with J. Fauquet on thermodynamics and info theory in the brain. You can read it [ link ]
April 2016: Well invested spare time in solving the "ponder this" IBM challenge of April. You can read my solution here.