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Pablo Iglesias is Edward J. Schaefer Professor of Electrical & Computer Engineering, at Johns Hopkins University with secondary appointments in Applied Mathematics & Statistics and, Biomedical Engineering and Cell Biology at the Johns Hopkins University School of Medicine. Trained as a control engineering, he is now better known as a computational and system biologist.

Early life and education
Iglesias was born in [1964] in Caracas, Venezuela, but moved to Toronto, in 1976. After graduating in Lorne Park Secondary School, in Mississauga, he entered the Engineering Science program at the University of Toronto, where he won a number of awards. Iglesias obtained his Bachelor of Applied Science degree, in 1987, and received the NSERC 1967 Science and Engineering Scholarships. At Toronto, he worked with Walter Murray Wonham to develop software for control of discrete-event systems. While an undergraduate, Iglesias also worked at Xerox's Research Centre of Canada. This work eventually led to a publication that won the Charles E. Ives Engineering prize from the Society for Imaging Science and Technology, in 1992.

He went on to earn a Ph.D. in Engineering, in 1991, from Cambridge University, where he was a member of Peterhouse. In 1989, he spent four months visiting the Department of Automatic Control in Lund, Sweden. Working under Keith Glover, his research focused on the robust control systems and adaptive control. The latter was nominated and was a finalist for the Young Author Prize at the 1990 International Federation of Automatic Control, in Tallinn, Estonia.

Career
Following the completion of his Ph.D., Pablo Iglesias joined the faculty at Johns Hopkins University as an Assistant Professor in the Department of Electrical & Computer Engineering, and was promoted to Associate Professor, in 1997.

In 1998, he spent two months while on sabbatical at the Weizmann Institute of Science, in Rehobot, Israel. During this time, he showed how the Bode's integral, an important quantitative indicator of the tradeoffs in control systems, usually expressed in terms of a systems transfer function, had a time-domain interpretation and how it could be related to Shannon's mutual information. This allowed consideration of Bode-like constraints to a wide range of previously unknown systems, including linear time-varying and nonlinear systems.

After the Weizmann Institute visit, he spend the rest of his sabbatical at the Department on Control and Dynamical Systems, at Caltech. There he became interested in biological signaling pathways and, in particular, those regulating chemotactic gradient sensing in eukaryotic cells. His first publication in this area, with then post-doc Andre Levchenko, provided a quantitative model to the local excitation, global inhibition (LEGI) model that had previously been proposed by Peter Devreotes at Johns Hopkins University.

Following his return to Hopkins, Iglesias and Devreotes began a long and fruitful collaboration that has greatly aided to provide a system-level understanding and implementing computational analysis of dynamical systems in different cell physiological processes. His work focuses on the understanding the dynamics of internal feedback loops in signal transduction and cytoskeletal networks that confer the biochemical excitability to the cell cortex and thus control different morphological and functional properties of the cell.