Research

ORCID

Particle Physics

Belle II

I am currently a member of the Belle II collaboration affiliated with the Kavli Institute for the Physics and Mathematics of the Universe. My research focuses on developing fast machine learning algorithms on FPGAs for the Belle II L1 trigger.

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Electron-Ion Collider

Before joining Belle II, I worked on the development and implementation of advanced machine learning algorithms for energy and angle reconstruction in the Zero-Degree Calorimeter for the future Electron-Ion Collider. Data from simulations was used to perform the first angle reconstruction for hadronic showers in the far-forward calorimetry using a graph neural network. I also worked with the ePIC collaboration on refinement and validation of a new DD4hep-based framework for simulation studies.

Condensed Matter Physics

Quantum Phase Transitions

I am currently working with Professor Noah Charles on a novel method of introducing geometric disorder to the Chalker-Coddington network model in order to accurately compute the critical exponent for the integer quantum hall transition.

Related Publications

1. D. Misra, O. Lee, H. Saberhagen, D. Schroeter and N. Charles, “Geometrically Disordered Network Models for the Integer Quantum Hall Transition via Loop Diagram Insertions,” 2024 APS March Meeting, Minneapolis, Minnesota, USA, 2024.