Biography
As a post-doctoral researcher, I lead research projects, research novel theories of dark matter, use machine learning to discover new physics, and develop software to explore and constrain dark matter models. My current research projects include:
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Using machine learning to explore high-dimensional parameter spaces.
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Developing software for accurately computing gamma-ray, positron, and neutrino spectra from GeV-scale dark matter annihilations and decays using form-factors fit to electron/positron collider data.
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Computing spectra from dark matter annihilations and decays into sterile neutrinos with masses ranging from an eV to the Plank scale.
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Determining the effects on the cosmic microwave background from models where dark matter briefly re-enters kinetic equilibrium with the Standard Model bath.
- Reinforcement Learning
- Using machine learning for discovering regions of interest in high-energy-physics models
- Phenomenology of dark matter
- Direct- and indirect-detection of dark matter
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Ph.D. in Physics, 2021
University of California, Santa Cruz
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M.S. in Physics, 2016
University of California, Santa Cruz
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B.S. in Physics and Mathematics, 2015
Western Washington University