Dylan Rankin
University of Pennsylvania · Physics and Astronomy
Active 1949–2024
About
Dylan Rankin is an Assistant Professor in the Department of Physics and Astronomy at the University of Pennsylvania. He holds a Ph.D. in Physics from Boston University (2018) and a Sc.B. in Physics from the Massachusetts Institute of Technology (2012). His primary research involves using data from proton-proton collisions at the CERN Large Hadron Collider (LHC) to probe the Standard Model of particle physics. His work includes both direct searches for new physics and precision measurements of known particles, especially in the highly boosted regime. He makes extensive use of machine learning techniques for tasks such as jet classification, mass regression, and event reconstruction, emphasizing the importance of ML in analyzing the enormous volume of data collected at the LHC. Rankin's research also focuses on trigger and data acquisition systems at the LHC, aiming to optimize hardware utilization to maximize physics outcomes. He is a leading member of the FastML collaboration, which supports low-latency machine learning inference on FPGAs, and is interested in applying ML across scientific disciplines where model size and latency are constrained.
Research topics
- Physics
- Particle physics
- Nuclear physics
- Computer science
- Algorithm
Frequent coauthors
- 1374 shared
M. Titov
Institut de Recherche sur les Lois Fondamentales de l'Univers
- 1371 shared
G. Hamel de Monchenault
Université Paris-Saclay
- 1349 shared
A. Rosowsky
Institut de Recherche sur les Lois Fondamentales de l'Univers
- 1309 shared
M. Besançon
CEA Paris-Saclay
- 1243 shared
F. Couderc
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- 1131 shared
M. Lethuillier
Institute of Nuclear Physics of Lyon
- 1112 shared
A. Meyer
Deutsches Elektronen-Synchrotron DESY
- 1042 shared
A. Zghiche
École Polytechnique
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