Current Role at Stanford
Postdoctoral Researcher in theoretical particle physics at SLAC National Accelerator Laboratory.
Education & Certifications
PhD, Cornell University, Theoretical Particle Physics (2016)
BA, MSci, University of Cambridge, Experimental and Theoretical Physics (2011)
My main topic of research is the search for new physics at the Large Hadron Collider at CERN, Switzerland. In the past couple of years my main focus has been the study of machine learning as a tool to understand the massive and complex datasets produced by the LHC and to test for deviations from the Standard Model of Particle Physics.
- Dedicated strategies for triboson signals from cascade decays of vector resonances PHYSICAL REVIEW D 2019; 99 (7)
- R-parity violating supersymmetric explanation of the anomalous events at ANITA PHYSICAL REVIEW D 2019; 99 (4)
- Extending the search for new resonances with machine learning PHYSICAL REVIEW D 2019; 99 (1)
Anomaly Detection for Resonant New Physics with Machine Learning
PHYSICAL REVIEW LETTERS
2018; 121 (24): 241803
Despite extensive theoretical motivation for physics beyond the standard model (BSM) of particle physics, searches at the Large Hadron Collider have found no significant evidence for BSM physics. Therefore, it is essential to broaden the sensitivity of the search program to include unexpected scenarios. We present a new model-agnostic anomaly detection technique that naturally benefits from modern machine learning algorithms. The only requirement on the signal for this new procedure is that it is localized in at least one known direction in phase space. Any other directions of phase space that are uncorrelated with the localized one can be used to search for unexpected features. This new method is applied to the dijet resonance search to show that it can turn a modest 2σ excess into a 7σ excess for a model with an intermediate BSM particle that is not currently targeted by a dedicated search.
View details for DOI 10.1103/PhysRevLett.121.241803
View details for Web of Science ID 000452960100004
View details for PubMedID 30608762
- Detecting a boosted diboson resonance JOURNAL OF HIGH ENERGY PHYSICS 2018
- A generic anti-QCD jet tagger JOURNAL OF HIGH ENERGY PHYSICS 2017
- Novel kinematics from a custodially protected diphoton resonance PHYSICAL REVIEW D 2016; 93 (11)
- Odd top partners at the LHC PHYSICAL REVIEW D 2016; 93 (7)
- Mixed stops and the ATLAS on-Z excess PHYSICAL REVIEW D 2015; 92 (9)
- Identifying the colour of TeV-scale resonances JOURNAL OF HIGH ENERGY PHYSICS 2012