Dr. Markus Stoye

Dr. Markus Stoye

I'm working as Senior Scientist in the high energy physics group of Imperial College London and I am an Academic Fellow of the Data Science Institute. My research focus is big data science at the LHC collider at CERN, which produces petabytes of heterogeneous data every day. Together with my team I am designing custom deep learning architectures, tools for mitigation of differences between real data and simulation, and interpretability. 

I am co-organizer of the Machine Learning (IML) working group of the LHC experiments, which combined have about 10000 collaborators.

Recent presentations and seminars


  • “AI in HEP, Colloqium, Max-Planck-Institute for Physics, Munich, Bavaria, Feb. 25th


  • Validation of DeepJetat CMS, ML fot jets, Fermi National Laboratory, Chicago, IL, USA, November 28th

  • Deep learning at the LHC, PPD seminar, Rutherford Appleton Lab., Oxfordshire, UK, July 25th

  • Deep learning at the LHC, HEP seminar, Imperial College London UK, July 24th

  • “Deep learning at CMS and Alice,” ICHEP, Seoul, Korea, July 5th

  • “Uncertainty mitigation in b-tagging,” IML (Inter-experiment LHC Machine Learning) workshop, CERN, Switzerland, 12th April

  • “DeepJet: jet tagging at the CMS experiment,” Big data science in astroparticle physics workshop, Aachen, Germany, Feb. 17th

  • “Machine Learning at the LHC,” ML for dark matter searches workshop, Leiden, Netherlands, Jan 17th


  • “Machine learning for jets at CMS,” ML in jets physics workshop, Berkley, USA, 11th December

  • “DeepJet: Generic physics object based jet multiclass classification for LHC experiments,” Deep learning for physics workshop at NIPS, LA, USA, 8th December

  • “DeepJet: performance and uncertainty mitigation”, IPPP seminar, Durham, UK, upcoming 16th November

  • “Machine learning applications in CMS,” CERN EP/IT data science seminar, CERN, 20th September

  • “Deep learning in jet reconstruction at CMS,” ACAT Seattle, USA, 21st August

  • “Convolutional neural networks for b-tagging,” DataScience@HEP, FNAL, 8th May

  • “DeepFlavour in CMS,” IML (Inter-experiment LHC Machine Learning) workshop, CERN, 21st March

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