I am a Post Doctoral Associate at the Laboratory for Information and Decision Systems (LIDS) at MIT hosted by Prof. Ali Jadbabaie. I obtained my Ph.D. in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign where I worked with Prof. Angelia Nedich and Prof. Alex Olshevksy.
PhD, Electrical and Computer Engineering. UIUC, 2018
M.Sc. Applied Mathematics: Optimization and Algorithms, UIUC, 2016.
M.Sc. Systems & Control, TUDelft, 2013.
B.Sc. Electronic Engineering, University of Antioquia, 2010.
I like all things distributed, my main research interest is the analysis of algorithms for distributed inference and social learning, and the fundamental limits of distributed optimization over networks. Click HERE for more details.
I attended CDC2019 and gave 3 talks. I was also at the Meet the future faculty poster session.
I’m very happy to be appointed as Visiting Professor for a period of 3 years, at the Moscow Institute of Physics and Technology, Phystech School of Applied Mathematics and Informatics, Hosted by Prof. Alexander Gasnikov.
-I will be giving a talk on Recent advances of distributed optimization at the QIPA2019 Conference
-I gave a talk on the basics of the distributed optimization setup at the LIDS & Stats Tea. Thanks to the student Committee for the invitation.
-I gave an 8-hour short course on Distributed Optimization and Learning at the Pontificia Universidad Javeriana in Bogota. October 9 and 10, 2019. More info HERE.
-I gave a Lecture on Recent Advances on Distributed Optimization and Learning at the Universidad Nacional de Colombia, October 11, at 10am. More info HERE.
-I gave a Lecture on Recent Advances on Distributed Optimization and Learning at the Universidad de Antioquia, on October 16th at 4pm.
-Our joint paper on Optimal distributed convex optimization on slowly time-varying graphs has been accepted to the IEEE Transactions on Control of Networks Systems!
-Four papers accepted to CDC 2019!, see you in France!
-Two invited Sessions accepted to CDC2019!