Projects

Composite Dark Matter
Identify new dark matter candidates which are composite and made up of new elementary particles which could be discovered at the LHC
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Composite Dark Matter
Machine Learning in Physics
Identify directions in machine learning that are useful to theoretical particle physics.
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Machine Learning in Physics
Monte Carlo String/M-theory Collaboration
Develop Monte Carlo methods for Quantum Gravity via Holography
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Monte Carlo String/M-theory Collaboration
Near-conformal gauge theories with many flavors
Discover properties of strongly-interacting theories with many quarks via numerical Monte Carlo simulations.
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Near-conformal gauge theories with many flavors
Nuclear Physics from Lattice QCD
Understand the properties of hadrons from the fundamental theory of quarks and gluons (QCD).
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Nuclear Physics from Lattice QCD