Sean Benson, PhD #

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Research Interest #

Primarily early detection and treatment response/recurrence predictions making use of deep learning.

2006-2010 MSci (BSc+MSc) in Mathematics and Physics, King’s College London;
2010-2014 PhD Particle Physics, University of Edinburgh, Supervisor: Prof. Franz Muheim.

(Full list on Google Scholar)

Benson et al. “Real-time discrimination of photon pairs using machine learning at the LHC”. In: SciPost Physics 10.21468/SciPostPhys.7.5.062 (2019)
Benson, S. and Gizdov, K. “NNDrone: A toolkit for the mass application of machine learning in High Energy Physics”. In: Computer Physics Communications, 10.1016/j.cpc.2019.03.002 (2019)
Haak et al. “The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation”, In: Surgical Endoscopy, 10.1007/s00464-021-08685-7 (2021)
Cai et al. “An improved automatic system for aiding the detection of colon polyps using deep learning”, In: IEEE BHI, 10.1109/BHI50953.2021.9508557 (2021)
Benson, S and Beets-Tan, RGH. “GAN-based anomaly detection in multi-modal MRI images”, (preliminary) In: bioRxiv, 10.1101/2020.07.10.197087 (2020)

AI-based early detection with endoscopy and tomography, European Congress of Radiology, Amsterdam, The Netherlands (2021)
Lepton-flavour non-universality at the LHC, International Tau Workshop, Amsterdam, The Netherlands. (2018)
CP violation in B decays, FPCP Conference, Hyderabad, India (2018)
Drones: making smarter and faster decisions with software triggers, IML Machine Learning Workshop (Video recording), Geneva, Switzerland (2018)
Flavour physics review, Lake Louise Winter Institute, Lake Louise, Canada (2018)
CP violation in b-hadrons at LHCb, Moriond EW Conference, La Thuile, Italy (2016)
LHCb status report, $123^{\mathrm rd}$ LHCC Meeting, Geneva, Switzerland (2015)
The LHCb Turbo stream, ICHEP Conference, Okinawa, Japan 2015
CP violation in $B_s$ decays at LHCb, LHCP Conference, New York, USA (2014)
CP violation in the $B_s$ system, Moriond EW Conference, La Thuile, Italy (2013)
Mixing and CPV in the B system, PLHC Conference, Vancouver, Canada (2012)

Katya Gorvokova is a previous PhD student who produced multiple LHCb analyses making use of machine learning and contributed to the LHCb real-time analysis software including the development of AI-based event selection. After graduating, Katya was awarded a prestigious CERN Fellowship, which included the development of novel AI executed on field-programmable gate arrays for real time execution. Thesis link
Lishan Cai is a current PhD student investigating the possibility of using deep learning in association with MRI and endoscopy images in order to predict chemotherapy response and identify regrowth at the earliest possible opportunity for patients with colorectal cancer.
Eduardo Pais Pooch is a current PhD student focusing on multi-modal risk prediction and characterisation of prostate tumors.
Corentin Guérendel is a current PhD student investigating the possibility of using deep learning in association with CT and endoscopy images in order to predict chemotherapy response and identify regrowth at the earliest possible opportunity for patients with oesophageal cancer.