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Hi! I'm João Pereira.


About me

I'm João Pereira. Most of the time I do Machine Learning. My interests are focused on deep learning applications. I previously worked with energy and healthcare data. My expertise is mainly on sequential data, especially time series processing, forecasting and anomaly detection. I took a M.Sc. degree in Electrical and Computer Engineering at Instituto Superior Técnico (IST) in Lisbon, where I did my master thesis on deep learning. Meanwhile, I developed research within the Institute for Systems and Robotics (ISR-Lisbon).
If you want to know more about my work I invite you to check out the Projects section. Please feel free to discuss and share any comments about them with me ;)

Applied Research

I do applied research in Machine Learning and, in particular, Deep Learning. I like to apply state of the art models to real-world problems, seeking to improve current approaches.
I have previously applied deep generative models (VAEs) and sequence models (RNNs, Seq2Seq, Attention) to sequential data, mostly for time series anomaly detection tasks.
I have been working on applications of deep learning to energy and healthcare, including regression, classification, structured prediction and anomaly detection tasks. Both using supervised and unsupervised models.



Integrated Master in Electrical and Computer Engineering
Instituto Superior Técnico


Exchange Student within Erasmus+ Programme
Université catholique de Louvain



Internship @ EDP Group (Summer 2017)
Project on load forecasting using neural networks. 

                                                                                      Lisbon, Portugal

Internship @ EDP Group (Summer 2016)
Project of low/medium voltage networks.

                                                                                   Coimbra, Portugal


Portuguese & English