Enrique Mallada is an associate professor of electrical and computer engineering. He has secondary appointments in the departments of Mechanical Engineering, Applied Mathematics and Statistics, and Computer Science. He is the director for the Networks, Dynamics, and Learning Laboratory (NetDL²ab), a core member of the Mathematical Institute for Data Science (MINDS), a core member of the Ralph O’Conner Sustainable Energy Institute (ROSEI), and an affiliate of the Laboratory of Computational Sensing and Robotics (LCSR).

Mallada’s research interests cover a diverse set of areas, including control and dynamical systems, networks and graph theory, mathematical optimization, and machine learning, as well as their applications in engineering and science. In a broad sense, his lab seeks to develop new tools and algorithmic solutions devoted to the analysis, design, and operation of large-scale and/or highly-coupled networked systems in an efficient and reliable manner. The work encompasses several application areas such as data, social and biological networks, as well as electric power grids. He holds two patents for his work.