The inner OGTS loop. A named family tree of calorimeter architectures, pruned by throughput and resolution, not by a flat NAS scan.
Aug 31, 2026
Presented lightweight GNNs for LHCb's PicoCal, PyTorch-to-ONNX inference optimization, and RAG-enhanced agentic revival of a legacy Λb → Λγ analysis at the 28th Conference on Computing in High Energy and Nuclear Physics.
May 29, 2026
Attention-enhanced node-centric GarNet GNNs (UzzieNet) with 8× faster inference, plus knowledge distillation down to ~95% smaller models that beat the teacher on energy resolution, for the PicoCal of LHCb Upgrade II.
May 25, 2026
Benchmarking GarNet in PyTorch versus ONNX Runtime on multi-core CPUs and NVIDIA A100 GPUs: up to 5× CPU and ~2× GPU speedup with FP32 parity at 10⁻⁷, targeting the LHCb GPU trigger (HLT1/Allen).
May 25, 2026
A RAG and agentic-LLM tool (Claude, GPT-family models with a vector database over analysis scripts, notes, and documentation plus the LHCb software stack) to reproduce and accelerate a legacy LHCb analysis.
May 25, 2026
Attention-enhanced node-centric GNN (UzzieNet) for LHCb PicoCal reconstruction, with distillation and PyTorch-to-ONNX deployment for the GPU trigger.
May 25, 2026
Talk on attention-enhanced lightweight GNNs (UzzieNet) for real-time particle reconstruction in LHCb's next-generation calorimeter.
Sep 8, 2025
Poster on optimizing graph neural networks and knowledge distillation for efficient particle reconstruction in LHCb's next-generation calorimeter.
Sep 1, 2025