Ryan Reece, Ph.D.

Data scientist / machine learning engineer / physicist

This is my space on the web

Me in Rincon Hill, June 2017

Hi! I’m Ryan. I am a former postdoctoral researcher at the Santa Cruz Institute for Particle Physics (SCIPP), who worked with the ATLAS experiment at CERN.

I have experience in data science, pattern recognition, statistical modeling, statistical inference, petabyte data reduction, and machine learning.

Previously as a graduate student at Penn, also with ATLAS, I helped commission the Transition Radiation Tracker (TRT), a sub-detector of the ATLAS tracker, during the start-up of the Large Hadron Collider (LHC) in 2009-2012. On July 4 of 2012, the ATLAS and CMS experiments both announced discovering a new particle consistent with the long-sought-after Higgs boson, a key to explaining electroweak symmetry breaking in the Standard Model of particle physics.

I’ve spent 10 years romping through datasets from ATLAS, learning how to explore and model large, multidimentional datasets. I have a knack for developing data analysis frameworks and an eye for technical detail and good scholarship. I am passionate about using scientific techniques to solve important problems and about how technologies extend our reach.

Research Interests

Many theories of physics beyond the Standard Model have revolutionary implications for the concepts of symmetry and space-time, and for our understanding of the early universe.

Searching for new physics in collider data involves detecting rare events among many, requiring big data reductions, data-driven background modeling, and severe statistical hypothesis testing.

My research has primarily focused on supporting and optimizing the reconstruction of hadronic tau decays, and searching for exotic new physics in ditau and diphoton events, including for signs of grand unified theories and supersymmetry. More recently, for the last year, my research has transitioned to using deep learning techniques for particle physics reconstruction and other classification problems.

A figure I drew with Kyle Cranmer of the big-picture of the flow of ATLAS data.

A figure I drew with Kyle Cranmer of the big-picture of the flow of ATLAS data.

Current projects I am focused on

Previous focuses

Curriculum Vitae


My graduate research in particle physics was on the reconstruction and identification of hadronic tau decays with the ATLAS experiment, measuring the Z→ττ production cross section in proton-proton collisions at √s = 7 TeV, and searching for new physics in high-mass ditau events.

        Download my thesis here



My web presence elsewhere

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