NYU President Linda G. Mills and Provost Georgina Dopico today announced the appointment of Juan de Pablo—a distinguished materials scientist, chaired professor, and executive vice president at the University of Chicago—as executive dean of NYU’s Tandon School of Engineering and the University’s inaugural executive vice president for global science and tech. He will assume his duties on October 1, 2024.
Since 2014, NYU has advanced from 38th on the National Science Foundation’s research and development ranking of American universities to 15th currently (and #1 in New York City).
President Mills said, “Making NYU the premier institution for global discovery, innovation, and entrepreneurship has been one of the four strategic pathways that has guided our vision for the past year. Today, we are announcing a major step in realizing that vision: the appointment of Juan de Pablo—an esteemed scholar and extraordinary leader in science—as our inaugural executive vice president for global science and technology and executive dean of NYU’s Tandon School of Engineering.
“In his role as the newly created executive vice president he will lead a cross-University, globally focused effort designed to accelerate the momentum of NYU’s vast science and technology enterprise. Central to that effort will be his work as executive dean of the Tandon School of Engineering, which has a long and remarkable history dating back nearly 200 years. Since restoring engineering to NYU 10 years ago, both the school and the University have thrived, including significant growth in research funding, new opportunities for collaboration, and translational developments.
“In Juan we have found a person perfectly suited to fill both roles and to lead us into what promises to be a science and technology revolution on the cusp of our University’s third century. We warmly welcome him to NYU.”
Juan de Pablo’s research interests focus on the study of complex materials systems, including polymers, biological macromolecules, and liquid crystals; on developing molecular models and computer simulations of complex molecular processes over wide ranges of length and time scales; and on the use of data-driven machine learning approaches for materials design, among other related areas. He has authored or co-authored over 650 publications and holds more than two dozen patents.
