I am a post-doctoral researcher at the Natural Language Understanding (NLU) of the Idiap Research Institute. I explore Deep Learning methods for addressing challenges in language understanding, especially in areas such as information retrieval, summarization, and document analysis. I am also a lecturer at the EPFL and Vienna University of Technology, teaching learning-based methods for text processing. I am curious about the role and impact of such methods when harnessed for real-world policy challenges.

Areas of interest:
  • Deep Learning
  • Natural Language Processing
  • Information Retrieval
  • Interpretability, Bias, Fairness
  • Computational Social Science

Publications
Google Scholar

News:

  • 05/2019 We organize a workshop at the AI for Good Global Summit (Geneva 28-31 May) discussing the applications of NLP in the humanitarian domain, in the context of the DEEP project. Find us in the Public Sector and AI section.
  • 04/2019 Our paper "Enriching Word Embeddings for Patent Retrieval with Global Context" won best systems short paper award at ECIR 2019 paper
  • 04/2019 Our paper "On the Effect of Low-Frequency Terms on Neural-IR Models" accepted at SIGIR 2019 paper
  • 01/2019 I am a keynote speaker at the Representation Learning for Complex Data Mining workshop at University Lyon 2, talking about Representation Leanring in Information Retrieval
  • 12/2018 Our paper "Enriching Word Embeddings for Patent Retrieval with Global Context" accepted at ECIR 2019 paper