Our group uses and develops cutting-edge instruments and detectors, quantum sensors, machine learning algorithms, and statistical methods to expand the exploration of the physics of the universe. Students can participate in innovative projects at the intersection of High Energy Physics, Machine Learning, and Quantum Information Science.
If you are interested, please e-mail me at sch@slac.stanford.edu
Investigate machine learning methods to enable the identification of Standard Model Higgs boson decays to gluons. This is a final state never searched for before due its experimental challenges.
Develop analysis methods to search for Higgs bosons decaying to new (BSM) light scalar particles decaying into pairs light- and charm-quark decays. This is a completely unexplored final state at the LHC.
Using simulations, design and optimize a barrel timing detector for the Run 5 upgrade of the inner pixel detector of the ATLAS experiment. Study improvements in physics potential. In particular, investigate how algorithms for the identification of b-quarks can be improved with the addition of timing information.
Diagnostics imaging system for MAGIS-100: perform various optical tests at our SLAC MAGIS-100 lab to determine camera/lens performance. Build and test a diagnostic imaging prototype
Develop the software for the MAGIS-100 diagnostic imaging system to enable the reconstruction of atom trajectories and calibration. Develop online monitoring software
Design, construction, and testing of a 3D light-field tomographic cameras to image cold atom clouds
Utilize 3D reconstruction to measure laser phase aberrations in matter-wave interference experiments
Reconstruction and analysis methods to perform new tests of quantum mechanics at unprecedented coherence times and distances
Reconstruction and analysis methods to detect dark matter signals using MAGIS-100 data
Investigation of novel imaging devices for future atomic experiments
Conceptual design of an integrated space-time layer for future e+e- colliders
Conceptual design of ToF detectors with fast timing sensors for future e+e- colliders
Monolithic LGAD sensors for ultrafast timing detector applications
28nm ultrafast timing readout chips for future hadron colliders or muon colliders. Prototype tests