Education

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Masters in Computer Science (Machine Learning and Statistical Inference)
Imperial College London

Graduated with First Class Honours (Distinction) on 2020

Research Projects

• Facial Expression and Emotion Recognition (with Prof. Maja Pantic and Dr. Stavros Petridis)
• Attention Models, CNNs and Encoder-Decoder LSTMs for Automatic Image-captioning and Machine Translation (with Prof. Lucia Specia)

Relevant Modules

• Mathematics for Machine Learning
• Probabilistic and Bayesian Inference
• Deep Learning (CNNs, Generative Models, RNNs and Graph Networks)
• Computer Vision
• Machine Learning for Imaging
• Natural Language Processing
• Computational Optimisation
• Reinforcement Learning

Masters in Robotics and Intelligent Systems
University of Bristol

Graduated with First Class Honours (Distinction) on Sep 2018
Overall Best Student Award (Graduated top of my cohort)

Research Projects

• Body Pose Estimation (Quadruped) with Fully Convolutional Networks (with Prof. W. Mayol-Cuevas)

Relevant Modules

• Statistical Pattern Recognition
• Intro to Artificial Intelligence
• Bio-Inspired Artificial Intelligence
• Image Processing and Computer Vision
• Intelligent Adaptive Systems
• Robotics Systems
• Uncertainty Modelling for Intelligent Systems

Project Experience

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Project	Technology
Facial Expression and Emotion Recognition (with Prof. Maja Pantic and Dr. Stavros Petridis)	PyTorch
Automatic Image-captioning and Machine Translation with attention CNNs and LSTMs (with Prof. Lucia Specia)	PyTorch
Body Pose Estimation (Quadruped) with Fully Convolutional Networks (with Prof. W. Mayol-Cuevas)	TensorFlow
Histopathological Cancer Detection with CNNs	Keras-TF
Twitter Offensive Language Detection with 2-branch biLSTM and biGRU	Keras-TF
Brain 3D MRI Segmentation for patient age regression	PyTorch & Azure

Coursework [selection]	Technology
Principal Component Analysis and Linear Discriminant Analysis	Python
Gaussian Processes for Regression	Python
Mean-field Variational Inference	PyTorch
VAEs: Variational Autoencoders	PyTorch
GANs & DCGANs: Deep Convolutional Generative Adversarial Networks	PyTorch
Bidirectional LSTMs and GRUs for Google’s speech recognition commands	PyTorch
Decision Trees. ID3 and pruning implementation	Python
RL - Markov Decision Processes and Q-Learning	Python
Optimisation - Convexity proof and minimisation of negative log likelihood for MNIST	Python

Technical Skills

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Languages: Python, C, C++, MATLAB, SQL
Technologies: Tensorflow, Keras, PyTorch, Microsoft Azure, scikit-learn, Pandas, OpenCV, Pillow

Languages

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English: Proficient
Spanish: Native
Catalan: Native