Santiago Paternain

Santiago Paternain transforms traditional models of dynamical systems control by integrating advanced machine learning techniques. As an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, he is at the forefront of research that bridges the gap between theoretical frameworks and practical applications. His academic journey began with a Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania, where he also contributed as a postdoctoral researcher. Paternain's research interests lie at the dynamic intersection of machine learning and the control of dynamical systems. His work aims to develop innovative solutions that enhance the efficiency and reliability of complex systems, making significant strides in both fields. His approach not only advances theoretical understanding but also has practical implications for industries reliant on sophisticated control systems. Throughout his career, Santiago Paternain has been recognized for his contributions to the field. He was awarded the 2017 CDC Best Student Paper Award, highlighting his ability to produce impactful research early in his career. Furthermore, his doctoral work was honored with the 2019 Joseph and Rosaline Wolfe Best Doctoral Dissertation Award, underscoring the significance and quality of his research. At Rensselaer Polytechnic Institute, Paternain continues to push the boundaries of what is possible in the realm of dynamical systems and machine learning. His dedication to research and education inspires the next generation of engineers and researchers, fostering an environment where innovation thrives. Through his work, he aims to contribute to the development of smarter, more adaptive systems that can meet the challenges of an increasingly complex world.