About

[Higgs candidate event display. Image source: CMS / ATLAS.]

My research focuses on experimental particle physics at the CERN Large Hadron Collider (LHC) in Switzerland, where I have been a member of the ATLAS Collaboration since 2024 and was a member of the CMS Collaboration from 2020-2024. I specialize in developing novel machine learning algorithms for both conventional and low-latency domains to search for new physics beyond the Standard Model.

I am currently a postdoctoral researcher at UPenn working in Dylan Rankin’s group. I received my PhD in Physics from U.Wisconsin-Madison in 2024, where I worked in Sridhara Dasu’s group on the CMS experiment and my thesis “Search for exotic Higgs boson decays with CMS and fast machine learning solutions for the LHC” was selected for the CMS Thesis Award from CERN.

My recent work lies in the following areas, with the objective centered on experimental particle physics.

• Self-supervised learning pretraining methods
• Low-latency (sub-microsecond) ML algorithms on FPGAs
• Neuromorphic computing with spiking neural networks
• Anomaly detection
• Symbolic regression
• Search for exotic Higgs boson decays
• Trigger system

[CMS detector. Image source: CMS.]