Miguel Amezola

Enterprise/Data-Intensive Apps, Distributed Systems, DDD, Machine Learning, UAVs

Protein Function Prediction Bioinformatics Web App


  • As a team of three, used machine learning algorithms to develop models for predicting the sets of cellular functions associated with protein sequences.
  • Used the models in an international bioinformatics competition known as the CAFA3 experiment.
  • Developed a web application with ReactJS and Python Flask that allows users to interact with the predictive models.
  • Implemented using the R Programming Environment, Python, NumPy, Scikit-Learn, ReactJS, AJAX, JSON, Python Flask, and MongoDB.

Worked in an Agile development environment to create a bioinformatics web app using ReactJS, Python Flask, and MongoDB.