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Dr. Hackl is an Assistant Professor in the Department of Civil and Environmental Engineering at Princeton University. His research spans complex infrastructure systems, focusing on interface network science, spatial-temporal networks, and uncertainty quantification. He obtained his PhD from ETH Zurich in 2019, and subsequently served as a senior researcher at the University of Zurich's Department of Computer Science from 2019 to 2022. In 2020, he was appointed Assistant Professor at the University of Liverpool, where he focused on urban risk resilience assessments. Dr. Hackl joined the University of Cambridge as a Research Assistant Professor for Digital Twins in 2022 before moving to Princeton in 2023. His research interests include intelligent risk resilience assessments related to climate change and providing integrated solutions for future challenges facing urban environments. He is particularly interested in developing scalable data analytics and machine learning techniques for dynamic processes in complex civil engineered systems, and his work often entails integrating data-driven approaches with physics-based models to create digital twins that learn and update based on multiple data sources.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.