At first curious about how machine learning could be applied as a computational tool to overcome challenges faced by quantum physicists, now Anna dives deeper into the intersection between theoretical quantum many-body physics and machine learning.  Anna’s fellowship award will help her reach her goal of developing a theoretical foundation of deep learning and expand its applicability in physics.

Anna completed her bachelor’s degree in Biophysics at Goethe University in Frankfurt, Germany in 2014. A highlight of Anna’s academic career is completing her Masters at the Perimeter Scholars International program in 2017. She is now a Ph.D. student at the Perimeter Institute for Theoretical Physics and the University of Waterloo under advisor Roger Melko.

Outside of the world of research, Anna is passionate about art and sports. In her spare time, she lets her creative and adventurous side shine by painting and finding new spots to surf.

Read more about Anna’s work on Google Scholar.