A collection of research, software, and other projects.
Open source software projects for physics and machine learning.
Design and steer profile likelihood fits with pyhf.
active
Machine learning-based inference for particle physics with neural ratio estimation.
Pure-Python implementation of HistFactory statistical models with auto-differentiation.
Reproducible research data analysis platform for containerized computational workflows.
Active learning for excursion set estimation with Gaussian processes.
Network-in-Network architecture for jet physics with recursive neural networks.
Toolbox for likelihood-free inference using calibrated classifiers and ratio estimation.
A tool for building statistical models for measurements based on template histograms.
Statistical data analysis toolkit integrated with ROOT.
Large-scale research collaborations and institutes.
Institute for Research and Innovation in Software for High Energy Physics.
active
Community-driven and community-oriented Python software for High Energy Physics.
active
One of the two general-purpose particle physics experiments at the Large Hadron Collider.
Research initiatives and projects.
Using machine learning and transformers to bootstrap scattering amplitudes and explore the space of consistent quantum field theories.
Featured
active
Constraining Effective Field Theories with machine learning for precision measurements at the LHC.
Reinforcement learning for clustering in Ginkgo particle shower simulator.
Machine learning approaches to sampling in lattice QCD and other field theories, including equivariant normalizing flows.
completed
Citizen science project using smartphone cameras to detect cosmic rays.
Featured
completed
Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC.
Search for a new dark photon (A' boson) in the sub-GeV mass range at Jefferson Lab, looking for narrow bumps in the QED e+e- spectrum.
Statistical and machine learning methodology.
Machine learning methods for likelihood-free inference with complex simulators.
Implementation and demonstration of backdrop in PyTorch with GP dataset generator.
Active learning + reusable workflows + likelihood-free inference.
Neural network approaches to detector unfolding in particle physics.
Ambient Fisher Information in the infinite spherical geometry of the space of all distributions.
Gaussian process Monte Carlo template smoother for histogram smoothing.
Exploring a subtle issue for expected contours in statistical inference.
Tools for decoupling and recoupling statistical models.
Demo of recoupling a decoupled project with effective likelihoods and template parametrizations.
Asymptotic formulae for likelihood-based tests of new physics. Over 10,000 citations.
Ancient kernel estimation code for PAW (Physics Analysis Workstation).
Educational materials, courses, and tutorials.
Tutorial on simulation-based inference methods.
Chapter on machine learning methods in the Particle Data Group Review of Particle Physics.
A living document on practical statistics for LHC physics analyses.
Companion materials for NYU Introduction to Experimental Physics II course.
Graduate course on statistical methods and data science for particle physics.
Leadership roles and institutional initiatives.
UW-Madison's Open Source Program Office, promoting open source practices across campus.
David R. Anderson Director of the Data Science Institute at UW-Madison.
Survey to assess data science needs and priorities within NYU faculty.
completed
NYU's Data Science Environment, part of the Moore-Sloan Data Science Environments initiative.
Community building and collaborative efforts.
Workshop series bridging machine learning and physical sciences.
Featured
active
Machine Learning for Physical Sciences workshop series at NeurIPS.
Particle Physics Project Prioritization Panel - shaping the future of U.S. particle physics.
Workshop series on machine learning for jet physics.
Publications, journals, and editorial work.
Editor-in-Chief of IOP Publishing's journal on ML for science.
Initiative to publish full statistical models from ATLAS analyses for reuse and reinterpretation.
Helped establish the GitHub-Zenodo integration for automatic DOI minting of software releases.
High Energy Physics literature database and information system.
Featured
active
A framework for reinterpreting LHC analyses for new physics models.
Web projects, tools, and visualizations.
active
Personal website and blog on physics, statistics, and machine learning.
Side projects and experiments.
Claude Code project implementing a checkers game variant.
Interactive visualization tool for exploring high-dimensional vector embeddings.
Interactive map visualization of travel history and destinations.
Fun little experimental projects and sandbox.
A fun project to automatically align images using Claude Code.
Binderized version of LIGO GW150914 gravitational wave tutorial.
TikZ version of the Standard Model graphic from Particle Fever documentary.
completed
Convert LaTeX markup to Unicode characters for use anywhere - email, Twitter, Slack, etc.