Ph.D. project focused on uncertainty and interpretability of Convolutional Neural Networks, applied to cardiovascular diseases.
A 3 month (part-time) master project investigating Bayesian Deep Learning on MNIST dataset.
Major in Data Science and Computer Science (Data Science, Web Programming, Big Data, Image Analysis, Parallel Computing, Artificial Intelligence)
2-year undergraduate intensive course in Physics, Algebra, Mathematics Analysis and Theoretical Computer Science