Portfolio

Core machine learning research

• Statistical Learning Theory: PAC-Bayes bounds to understand the generalization capabilities of machine learning models
• Feature Engineering, to cook patterns underlying in the available data in a more easy-to-digest way for the model
• Introduction of domain expert knowledge in the design of the models.

Applications of machine learning

• Finances: Portfolios that track financial indices, technical indicators, pricing
• Health: Analysis of neuroimage with machine learning