About

I'm an analyst working in baseball research and development with the Boston Red Sox.

Formerly, I was a postdoctoral researcher at Argonne National Laboratory where I worked to develop simulation and machine learning for particle physics on the first US exascale computer, Aurora.

In my Ph.D I worked on the ATLAS experiment at the Large Hadron Collider at CERN in Geneva, Switzerland. My analysis was studying di-Higgs production - rare interactions that result in the production of 2 Higgs bosons. My work heavily focused on studying the Vector Boson Fusion production mode. I additionally worked on developing machine learning techniques to classify photons in the electromagnetic calorimeter as a DOE's SCGSR Fellow. Last, I worked on the FastTracKer upgrade experiment, developing online and offline software, as well as testing and commissioning a massively parallel hardware tracker.

In my free time, I enjoy music (particularly jazz), baking bread, and running. For more information on all of these, feel free to check out the blog component of this page.

Selected Publications

"Search for Higgs boson pair production in the γγbb final state with 13 TeV pp collision data collected by the ATLAS experiment". ATLAS Collaboration J. High Energ. Phys. 2018, 40 (2018). https://doi.org/10.1007/JHEP11(2018)040
“Combination of searches for Higgs boson pairs in pp collisions at s=13 TeV with the ATLAS detector”. ATLAS Collaboration. In: Physics Letters B 800 (2020), p. 135103. doi: https://doi.org/10.1016/j.physletb.2019.135103.
"Validation of signal Monte Carlo event generation in searches for Higgs boson pairs with the ATLAS detector". Tech. rep. ATL-PHYS-PUB-2019-007. Geneva: CERN, 2019. url: http://cds.cern.ch/record/2665057.
“Higgs boson pair production at colliders: status and perspectives”. ed. by B. Di Micco et al. Reviews in Physics, 2020. doi: https://doi.org/10.1016/j.revip.2020.100045.
(Sole author of Section 5.6: HH production in the VBF mode)