Mónica Ribero Díaz

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I am a third year Ph.D. student in Electrical and Computer Engineering at the University of Texas at Austin under the supervision of Prof. Haris Vikalo and Prof. Robert W. Heath Jr.. I am interested in the theoretical problems in the intersection of machine learning, communications, and their applications to the real world. Particularly, I am working on designing federated learning algorithms that satisfy communication and privacy constraints. I am a member of the Wireless Networking and Communications Group (WNCG).

Experience

I completed my B.S. in Mathematics from Universidad de Los Andes in 2015 in Colombia. I worked on Monte Carlo methods for hypothesis testing on contingency tables under the supervision of Prof. Mauricio Velasco. Afterwards, I had the chance to work with Google LA through the Research for industrial Problems for Students program at UCLA, and later as a data science researcher for industry and government projects at Quantil.

I was a TA for Linear Algebra and Integral Calculus at Universidad de Los Andes. At UT Austin, I was a TA for the Data Science Lab undergraduate course, and currently for convex optimization.

Research