Education
Ph.D. from University of Oxford, 2015
Matteo Cremonesi
Carnegie Mellon University
Physics
Profile
Assistant Professor at Carnegie Mellon, 2022-today LHC Physics Center Artificial Intelligence Fellow & Research Associate at University of Notre Dame, 2021-2022 Research Associate at Fermi National Accelerator Laboratory, 2015–2021 Non-Degree Visiting Student at University of Chicago, 2014-2015 Fellow at Harvard University Department of Physics, 2013-2014
Research
AI-on-chip systems for qubit control.
Most Cited Publications
A. M. Sirunyan et al., Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at (s) = 13 TeV, Eur. Phys. J. C 79 (2019) 280.
A. M. Sirunyan et al., Search for dark matter in events with energetic, hadronically decaying top quarks and missing transverse momentum at (s) = 13 TeV, JHEP 06 (2018) 027.
T. Aaltonen et al., Constraints on Models of the Higgs Boson with Exotic Spin and Parity using Decays to Bottom-Antibottom Quarks in the Full CDF Data Set, Phys. Rev. Lett. 114, 141802 (2015).
T. Aaltonen et al., Observation of s-Channel Production of Single Top Quarks at the Tevatron, Phys. Rev. Lett. 112, 231803 (2014).
T. Aaltonen et al., Search for s-Channel Single-Top-Quark Production in Events with Missing Energy Plus Jets in pp Collisions at sqrt(s) = 1.96 TeV, Phys. Rev. Lett. 112, 231805 (2014).
Recent Publications
N. Smith et al., Coffea – Columnar Object Framework For Effective Analysis, EPJ Web of Conferences 245, 06012 (2020).
M. Cremonesi et al., Using Big Data Technologies for HEP Analysis, EPJ Web of Conferences 214, 06030 (2019).
A. M. Sirunyan et al., Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at (s) = 13 TeV, Eur. Phys. J. C 79 (2019) 280.
A. M. Sirunyan et al., Search for dark matter in events with energetic, hadronically decaying top quarks and missing transverse momentum at (s) = 13 TeV, JHEP 06 (2018) 027.
O. Gutsche et al., CMS Analysis and Data Reduction with Apache Spark, JPCS 1085 042030 (2018). O. Gutsche et al., Big Data in HEP: A comprehensive use case study, JPCS 898, 072012 (2017).