I am working in the world's largest liquid xenon experiment (LZ) collaboration. Our latest world's best WIMP search result is . My major focus is the search for solar B8 neutrino and light dark matter. These analyses go into the tiniest energy regions (2-fold and S2-only channels) of LXeTPCs and require a series of novel low-threshold techniques.
Beyond state-of-the-art routines of dark matter searches, I am interested in creating the electron topological reconstruction (eTopoDM Project) to precisely identify every electron and scatter for dark matter candidate events with information in (E,x,y,z,t,v) space, in which v stands for waveform shape information in hundreds of dimensions. The classical physics methods based on likelihood, minimizer, templates, and Monte Carlo simulation, will be compared with those of AI methods: based on CNN, GNN, transformer, and auto agents for physics discoveries. I place my vision, effort, and hope in this approach to improve the detection of a wide range of particles in LXe detectors.
I am interested in AI for science topics, including using the diffusion method to improve the statistics of the precise waveform simulation, and achieving the hyper-resolution 3D topological reconstruction. Essential AI infrastructures and well-trained physics agents based on pre-trained LLM models are required to achieve such a goal.
I am also on the field cage design and PTFE material selection for the next-generation LXe experiment with 60-80 tonnes of xenon: .
All publications see: .
I look forward to collaborating with more researchers on these topics.