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Busy with postdoc applications.
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Busy with postdoc applications.

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asemposki/README.md

Hello! 👋

I'm a Ph.D. student studying with Daniel R. Phillips at Ohio University. 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, performing crucial uncertainty quantification (UQ). My most recent 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.

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)

Pinned Loading

  1. bandframework/Taweret bandframework/Taweret Public

    Python package for Bayesian Model Mixing

    Jupyter Notebook 8 8

  2. SAMBA SAMBA Public

    The original BAND package which performs Bayesian model mixing upon a toy model setup.

    Python 2 1

  3. nuclear-quantum-computing nuclear-quantum-computing Public

    Forked from kylegodbey/nuclear-quantum-computing

    Our winning project from the FRIB-TA Summer School on Quantum Computing!

    Jupyter Notebook

  4. ascsn/2023-FRIB-TA-Summer-School ascsn/2023-FRIB-TA-Summer-School Public

    Repository for the 2023 FRIB-TA Summer School on practical uncertainty quantification and emulation!

    Jupyter Notebook 6 55