- Assistant Professor
- Phone: 979-845-4012
- Email: jrodrigueznieva@tamu.edu
- Office: MPHY 410 (main office)
- https://orcid.org/0000-0002-3023-396X
Research Areas
- Computational Quantum Physics
- Computational Statistical Physics
- Magnetism and Superconductivity
- Nanophysics
- Quantum Systems and Statistical Physics
- Semiconductors and Photonic Materials
- Strongly Correlated Electronic System
Biography
Research Overview:
Quantum matter away from thermodynamic equilibrium can exhibit rich classes of dynamical behaviors that have no equilibrium analogue. An overarching goal of my research is to discover universal principles governing the dynamics and thermalization of quantum matter beyond equilibrium paradigms. Such principles can be applied to describe dynamics in a wide range of many-body systems, from electrons in solid-state materials to cold atoms in optical lattices to ensembles of spin defects, in spite of the apparent microscopic differences between such systems. More specifically, my research involves developing theoretical frameworks at the interface between non-equilibrium statistical mechanics and quantum information that can be used to describe, understand and, ultimately, control these novel dynamical behaviors. My research also studies how to exploit these novel behaviors for potential applications in emergent areas such as quantum sensing and metrology. Other research interests include the physics of low-dimensional electronic systems, and developing a deeper understanding of machine learning by drawing insights from statistical mechanics.
Quantum matter away from thermodynamic equilibrium can exhibit rich classes of dynamical behaviors that have no equilibrium analogue. An overarching goal of my research is to discover universal principles governing the dynamics and thermalization of quantum matter beyond equilibrium paradigms. Such principles can be applied to describe dynamics in a wide range of many-body systems, from electrons in solid-state materials to cold atoms in optical lattices to ensembles of spin defects, in spite of the apparent microscopic differences between such systems. More specifically, my research involves developing theoretical frameworks at the interface between non-equilibrium statistical mechanics and quantum information that can be used to describe, understand and, ultimately, control these novel dynamical behaviors. My research also studies how to exploit these novel behaviors for potential applications in emergent areas such as quantum sensing and metrology. Other research interests include the physics of low-dimensional electronic systems, and developing a deeper understanding of machine learning by drawing insights from statistical mechanics.
Educational Background
- Ph.D., Massachusetts Institute of Technology (2016)
- Postdoctoral Fellow, Harvard University (2016-2019)
- Postdoctoral Fellow, Stanford University (2019-2022)