I am a research fellow in optimization in the School of Mathematics and Statistics of the University of Melbourne.
My research focuses on structured optimization problems arising in engineering, machine learning, and data science. In particular, I am currently working on splitting methods for convex and nonconvex optimization, distributed methods without central coordination, and stochastic optimization.
Email: felipe.atenas@unimelb.edu.au
About myself
Originally from Chile, I moved to Campinas, State of São Paulo, Brazil, to pursue my PhD in Applied Mathematics, right before the pandemic started. My PhD supervisor was Claudia Sagastizábal, with Paulo J. S. Silva as co-supervisor, both from the State University of Campinas (Unicamp). During my PhD, I visited Jonathan Ecsktein at Rutgers University.
After defending my PhD, I moved to Melbourne, Australia, to work as a postdoctoral researcher, my current job. Here, I met my new two collaborators: Matthew Tam (The University of Melbourne, Unimelb) and Minh Dao (The Royal Melbourne Institute of Technology, RMIT).