I am a second year Ph.D. student in Machine Learning at the Georgia Institute of Technology, working with Prof. Sebastian Pokutta. My work is currently aimed at designing novel convex optimization algorithms with solid theoretical convergence guarantees and good numerical performance.
Prior to joining the Ph.D. program I worked at HP as an R&D Systems Engineer for two years. I obtained a bachelor of science in Industrial Engineering from the Universidad Politécnica de Madrid and a Master of Science in Applied Physics from Cornell University.
Ph.D. in Machine Learning, 2022 (Expected)
Georgia Institute of Technology
MS in Applied Physics, 2016
BSc in Industrial Engineering, 2014
Universidad Politécnica de Madrid