The search for axion dark matter at Yale
Experiments: ALPHA, HAYSTAC, RAY
Science Goal: Search for axion dark matter using quantum and microwave technologies.
Heeger Group Involvement: The Yale group uses AI & ML for handling large amounts of data, categorization and validation for data selection, pattern recognition, noise reduction, and data processing.
Sponsors: DOE QuantiSED, Simons Foundation, John Templeton Foundation, Knut & Alice Wallenberg Foundation, NSF, Swedish National Space Agency, Swedish Research Council
Publications: Phys. Rev. Lett. 134, 151006 (2025); Phys Rev D. 109 032009 (2024); Nature 590, 238–242 (2021)

Directly measuring the mass of the neutrino
Experiment: Project 8
Science Goal: Utilize a novel technique (CRES) to perform a precision measurement of the yet unknown neutrino mass.
Heeger Group Involvement: The Heeger group uses AI and ML for data analysis and event reconstruction in neutrino experiments. The Yale group is collaborating with Pacific Northwest National Laboratory (PNNL) to build a data management framework for the Project 8 experiment.
Sponsor: DOE-NP
Publications: Mach. Learn. Sci. Tech. 5, 025026 (2024); JINST 19 P05073 (2024)

Searching for neutrinoless double beta decay
Experiments: CUORE, CUPID
Science Goal: Search for neutrinoless double beta decay, which could answer why we live in a Universe of matter, not antimatter.
WL Involvement: The group uses AI and ML for data analysis and event reconstruction in neutrino experiments.
Sponsor: DOE-NP
Publications: J PPNP 122, 103902 (2022); arXiv:2504.14369
