Postdoctoral Scholar @ Caltech
My research is at the intersection of fluid mechanics and data-science. Specifically, my graduate research focused on cross-flow turbine (i.e. vertical axis turbine) arrays. This work is motivated by using cross-flow turbines as a renewable energy solution in wind and marine current applications. Experimentally controlling, optimizing, and visualizing array dynamics was at the core of this work. I also studied how machine learning and other data-driven methods, such as robust principal component analysis and dynamic mode decomposition, among others, can be applied in experimental fluid mechanics. My postdoctoral research is utilizing frequency-domain methods and data assimilation to augment turbulence modeling.
Postdoctoral Scholar in Mechanical & Civil Engineering, Caltech (current)
Ph.D. in Mechanical Engineering, University of Washington 2022
M.S. in Mechanical Engineering, University of Washington 2019
Sc.B. in Mechanical Engineering, Brown University 2017
email: ischerl at caltech dot edu