Recent & Upcoming Talks

Execution-Grounded Agents: Enforcing Physical Constraints in AI Code Generation via Oracle Search

Workshop paper on oracle-search procedures that enforce physical constraints on LLM-generated scientific code, with an execution-grounded evaluation protocol.

Jul 6, 2026

When Less is More: Towards Lightweight and Distilled Graph Neural Networks for Efficient Particle Reconstruction in LHCb's Next-Generation Calorimeter

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

Optimizing GNNs for the Wild: PyTorch-to-ONNX Acceleration of GarNet on CPUs and GPUs

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

Future-Ready Restoration: A Case Study on AI RAG-Enhanced Agentic Revival of a Run-2 2016 Λb → Λγ Analysis

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

When Less is More: Towards Lightweight and Distilled Graph Neural Networks for Efficient Particle Reconstruction

Talk on attention-enhanced lightweight GNNs (UzzieNet) for real-time particle reconstruction in LHCb's next-generation calorimeter.

Sep 8, 2025

When Less is More: Lightweight and Distilled GNNs for Efficient Particle Reconstruction

Poster on optimizing graph neural networks and knowledge distillation for efficient particle reconstruction in LHCb's next-generation calorimeter.

Sep 1, 2025

Understanding proton complexity and finding cracks in the Standard Model

Invited plenary on proton structure and searches for physics beyond the Standard Model.

Aug 1, 2021

HB TDC LUTs for Long-Lived Particles and Configuration Latency Reduction

Technical presentation on configurable HCAL FPGA look-up tables for long-lived-particle selection, reducing configuration latency from hours to under 7 seconds.

Jun 1, 2021