Research Areas
Sous’s research focuses on the study of systems with a large number of degrees of freedom in which correlations act to stabilize novel behavior with functionalities that can be utilized in future-generation technologies, including but not limited to energy materials.
The goal of this research is to gain a general, unifying understanding of interacting statistical systems. Specific examples include correlated quantum matter (quantum materials and ultracold atoms & molecules) and dynamical non-linear systems (optically driven quantum systems and models of neural learning).
Selected Awards & Honors
- Air Force of Scientific Research (AFOSR) Young Investigator Program (YIP) Award (2024-2027)
- Gordon and Betty Moore Foundation Postdoctoral Fellowship at Stanford University (2022-2023)