I am a third year PhD student in Applied Mathematics at Cornell University, where I work with Prof. Damek Davis. Before coming to Cornell I completed my MSc in Mathematics and two BS in Mathematics and Systems and Computing Engineering at Los Andes University. There I was co-advised by Prof. Mauricio Junca and Prof. Mauricio Velasco.
Broadly speaking, I am interested in the beautiful interplay between continuous optimization, geometry, and statistics and its applications to data science, machine learning and signal processing.
In case you would like to take a look, here is my CV.
2019-04-22: V. Charisopoulos, Y. Chen, D. Davis, L. Ding, D. Drusvyatskiy, and I just uploaded a new paper called Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence.
2019-02-26: My paper, with Adolfo Quiroz and Mauricio Velasco, on Local angles and dimension estimation from data on manifolds has been accepted for publication in the Journal of Multivariate Analysis.
2019-01-07: Vasilis Charisopoulos, Damek Davis, Dmitriy Drusvyatskiy, and I just uploaded our paper on Composite optimization for robust blind deconvolution. We present an efficient nonconvex algorithm that provably solves the blind deconvolution problem with optimal sample complexity.
2018-05-07: Adolfo Quiroz, Mauricio Velasco and I just uploaded our paper on Local angles and dimension estimation from data on manifolds.
2018-02-01: Abby Turner, Damek Davis and I are organizing the Optimization Seminar this semester.
2017-01-08: My first paper "Compressed sensing of data with a known distribution", co-authored with Mauricio Junca, Felipe Rincón and Mauricio Velasco, has been accepted! Here is the arXiv version.