Research

• Big data, Data Science and Artificial Intelligence from a biomedical or biotechnological perspective.
• Automation of workflows involving large amounts of data and programs for their analysis (capture, conversion, advanced processing, export, etc.).
• Development of Machine Learning models for prediction, clustering and classification problem solving (training, validation and implementation in final applications).
• Acquisition and integration of information from multiple data sources using advanced web scraping techniques.
• Development of applications that make use of trained models to carry out tasks related to text mining and/or data mining.
• Text and/or image analysis using deep learning algorithms.