Juan de Pablo

Juan de Pablo is a Professor of Chemical and Biomolecular Engineering at New York University, and holds the titles of Executive Vice President for Global Science and Technology and Executive Dean of the Tandon School of Engineering. His research focuses on polymers, biological macromolecules, glasses, and liquid crystals, with an emphasis on developing molecular models and computational approaches to understand complex molecular processes. He has contributed to the design of advanced algorithms for materials prediction and has pioneered data-driven machine learning methods in materials science. Dr. de Pablo has authored over 650 publications and holds more than 25 patents, including those relevant to semiconductor technology and protein stabilization. He has received numerous honors, including induction into the National Academy of Engineering and the National Academy of Sciences, and has served in various leadership roles at academic and research institutions.

Juan J. de Pablo is a professor whose research focuses on molecular modeling, polymers, liquid crystals, DNA, and proteins. His work explores the self-assembly of block copolymers, directed assembly for nanolithography, and the simulation of polymer behavior under various conditions. He investigates the glass transition temperature of polymer films, the phase behavior of polyelectrolytes, and the structural transformations in liquid crystalline systems. Additionally, he develops coarse-grain models for DNA and explores molecular simulations for understanding complex materials. His research bridges computational methods with experimental insights to advance materials science and nanotechnology.