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I'm a PhD Student at the Faculty of Sciences, University of Lisbon working on generative modelling for longitudinal clinical datasets, with a focus on neurodegenerative diseases.

I am interested in Deep Learning overall, if you would like to collaborate, do reach out :)

📫 How to reach me:

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  1. nlx-group/Shortcutted-Commonsense-Reasoning nlx-group/Shortcutted-Commonsense-Reasoning Public

    Code for the article "Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning", Outstanding Paper at EMNLP2021

    Jupyter Notebook 10

  2. PatientFlow PatientFlow Public

    PatientFlow: Generate realistic synthetic longitudinal clinical data using Flow Matching and VAEs.

    Jupyter Notebook 1

  3. nlx-group/study-of-commonsense-reasoning nlx-group/study-of-commonsense-reasoning Public

    Code and data for Masters Dissertation "A Study of Commonsense Reasoning with Language Models", developed @ NLX-Group, Department of Informatics, Faculty of Sciences, University of Lisbon

    Jupyter Notebook 1

  4. nlx-group/WordNetEmbeddings nlx-group/WordNetEmbeddings Public

    Obtaining word embeddings from a WordNet ontology

    Python 50 7

  5. Pre-Training-is-almost-all-you-Need-for-Commonsense-Reasoning Pre-Training-is-almost-all-you-Need-for-Commonsense-Reasoning Public

    An (as efficient as possible) implementation of the paper "Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning"

    Python 3 2

  6. msas-pytorch msas-pytorch Public

    Implementation of the similarity measure "Multi-Sequence Aggregate Similarity" (MSAS) for evaluating generative models on temporal data, and further extensions, in PyTorch

    Python