Juan Felipe Pérez-Juste Abascal, Ph.D.

Education

 

2007  Ph.D., Medical Physics & Bioengineering, University College London, UK

• Thesis title: Improvements in reconstruction algorithms for electrical impedance tomography of brain function

• Supervisors: Simon Arridge, David Holder and Richard Bayford

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2003  M.Sc., Applied Mathematics, The University of Manchester, UK

• Thesis title: The anisotropic inverse conductivity problem

• Supervisor: Bill Lionheart

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2002  B.Sc. & M.Sc., Theoretical Physics, Universidad Autónoma de Madrid, Spain

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Other courses

Deployment and MLOps

• Deploying Machine Learning Models in Production (MLOps), Coursera

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• TensorFlow: Data and Deployment Specialization, Coursera

  • Browser-based Models with TensorFlow.js

  • Device-based Models with TensorFlow Lite

  • Data Pipelines with TensorFlow Data Services 

  • Advanced Deployment Scenarios with TensorFlow

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NLP and LLMs​

• Building LLM-Powered Apps, W&B

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• ChatGPT for Developers, DeepLearning.AI

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• LangChain: Chat with Your Data, DeepLearning.AI

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Deep learning ​

• Deep Learning Specialization, Coursera

  • Convolutional Neural Networks 

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 

  • Structuring Machine Learning Projects

  • Sequence Models (RNN, LSTM, Transformer, NLP)

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• Deep Generative Models, Udemy

  • Autoregressive models, VAE, GAN, Diffusion models

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• Generative Adversarial Networks (GANs) Specialization, Coursera

  • Build Basic Generative Adversarial Networks 

  • Build Better Generative Adversarial Networks 

 

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Machine learning

• Statistical Learning, Standford University, edX

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• Probabilistic Graphical Models Specialization, Coursera

  • Probabilistic Graphical Models 1: Representation

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