I received my Ph.D. working with Daniel R Phillips at Ohio University studying theoretical nuclear physics. I am a member of the BAND collaboration and MUSES collaboration and I developed the Bayesian Model Mixing (BMM) package Taweret with my fellow BAND and OSU collaborators. I work in the field of both creating and applying Bayesian Model Mixing methods to a wide variety of nuclear physics problems, especially the dense matter equation of state, performing crucial uncertainty quantification (UQ). My most recent BMM paper, in collaboration with members of the BUQEYE collaboration on applying Bayesian model mixing to the nuclear matter equation of state can be found here. I am currently working to extend the BMM framework developed there to infer constraints on the macroscopic properties of neutron stars.
I'm currently looking for available postdocs to apply these skills to nuclear matter, structure, and astrophysics!
Some of my current and future research interests are:
- Bayesian Model Mixing/Uncertainty Quantification
- Equation of State (EOS) of dense matter/neutron stars
- Ab initio many-body methods
- Emulators for dense matter and nuclear structure
- Effective field theories (EFTs)
- Quantum Computing (and its application to nuclear physics and many-body methods)
Some of my close collaborators are:
- Dick Furnstahl (OSU)
- Christian Drischler (OU/FRIB)
- Sudhanva Lalit (FRIB)
I'm a member of: