HannahLu
- hannah.lu@austin.utexas.edu
- ASE 5.242, POB 4.234
Scientific computing; Model reduction; Uncertainty quantification; Machine learning in applications of environmental fluid mechanics
About
Hannah Lu joined the ASE/EM department in the Fall 2024 semester as a tenure-track assistant professor. Before that, she worked as a postdoc associate at the Massachusetts Institute of Technology, where she was affiliated with the Department of Aeronautics and Astronautics, Department of Civil and Environmental Engineering, Earth Resources Laboratory, and Laboratory for Information and Decision Systems.
Lu obtained her Ph.D. from Energy Science and Engineering at Stanford Doerr School of Sustainability. Her research interests lie in the field of scientific computing, reduced order modeling, uncertainty quantification and machine learning in applications of environmental fluid mechanics.
She received the EDGE Doctoral Fellowship, Frank G. Miller Fellowship Award and Henry J. Ramey, Jr. Fellowship Award from Stanford University, Student Travel Award from SIAM Conference on UQ, NSF Fellowship from the MMLDT-CSET Conference, Travel Grant from NSF-funded HydroML Symposium, a first-place USNCCM17 Best Presentation Award in postdoc category, and an early career travel award from SIAM Conference on UQ.
Lu is also a core faculty member of the Oden Institute for Computational Engineering and Sciences.
Educational Qualifications
Ph.D., Energy Resources Engineering, Stanford University