Name: Data Science @ LHC 2015 Workshop
Start: 2015-11-09T08:30:00+01:00
End: 2015-11-13T18:00:00+01:00
Location: CERN

Data Science @ LHC 2015 Workshop

from Monday 9 November 2015 (08:30) to Friday 13 November 2015 (18:00)

Monday 9 November 2015
08:30
08:30 - 13:00
Room: 222/R-001
Contributions

09:00 Welcome - Jean-Roch Vlimant (California Institute of Technology (US))

09:15 Data and Science in HEP - Vincenzo Innocente (CERN)

10:00 Data Science in industry - Ellie Dobson (Pivotal)

11:00 ML at ATLAS&CMS : setting the stage - Mauro Donega (Eidgenoessische Tech. Hochschule Zuerich (CH))

11:40 Preparing for the future: opportunities for ML in ATLAS & CMS - Tobias Golling (Universite de Geneve (CH))
13:00 Lunch Break
Lunch Break
13:00 - 14:00
Room: 222/R-001
14:00
14:00 - 14:45
Room: 222/R-001
Contributions

14:00 Deep Learning RNNaissance - Juergen Schmidhuber (IDSIA)
14:45 Coffee Break
Coffee Break
14:45 - 15:00
Room: 222/R-001
15:00
15:00 - 18:00
Room: 222/R-001
Contributions

15:00 Feature Extraction - Sergei Gleyzer (University of Florida (US))

15:45 TMVA tutorial - Helge Voss (Max-Planck-Gesellschaft (DE)) Sergei Gleyzer (University of Florida (US))
19:00 Reception
Reception
19:00 - 20:00
Room: Restaurant 1
Tuesday 10 November 2015
09:00
09:00 - 13:00
Room: 222/R-001
Contributions

09:00 ME technique plus experience ttH - Lorenzo Bianchini (Eidgenoessische Tech. Hochschule Zuerich (CH))

09:45 ABC Method - Richard Wilkinson (University of Sheffield)

10:45 Approximate Likelihood - Kyle Stuart Cranmer (New York University (US))

11:30 Stochastic optimization: beyond mathematical programming - Marc Schoenauer (INRIA)

12:15 Software R&D for Next Generation of HEP Experiments, Inspired by Theano - Amir Farbin (University of Texas at Arlington (US))
13:00 Lunch Break
Lunch Break
13:00 - 14:00
Room: 222/R-001
14:00
14:00 - 14:45
Room: 222/R-001
Contributions

14:00 Better Cities through Imaging - Gregory Dobler (NYU CUSP)
14:45 Coffee Break
Coffee Break
14:45 - 15:00
Room: 222/R-001
15:00
15:00 - 18:10
Room: 222/R-001
Contributions

15:00 Introduction - Kyle Stuart Cranmer (New York University (US))

15:01 Cross Disciplinary Discussion

15:20 MadWeight Tutorial - Olivier Pierre C Mattelaer (IPPP Durham)

16:40 MemTk (Matrix Element Toolkit) Tutorial - Oliver Maria Kind (Humboldt-Universitaet zu Berlin (DE)) Patrick Rieck (Humboldt-Universitaet zu Berlin (DE)) Soren Stamm (Humboldt-Universitaet zu Berlin (DE))

17:30 Recent Experience, Challenges, & Discussion - Lorenzo Bianchini (Eidgenoessische Tech. Hochschule Zuerich (CH)) Olaf Nackenhorst (Universite de Geneve (CH)) Olivier Pierre C Mattelaer (IPPP Durham) Patrick Rieck (Humboldt-Universitaet zu Berlin (DE))
Wednesday 11 November 2015
09:00
09:00 - 13:00
Room: 222/R-001
Contributions

09:00 Data science in ALICE - Michele Floris (CERN)

09:45 Deep Learning and its Applications in the Natural Sciences - Pierre Baldi (UCI)

10:45 A ground-up construction of deep learning - Luke Percival De Oliveira (SLAC National Accelerator Laboratory (US))

11:30 Neuromorphic silicon chips - Giacomo Indiveri (INI Zurich) Sim Bamford (INI Labs)

12:15 Artificial Intelligence and the Future of Science - Demis Hassabis (Google DeepMind)
13:00 Lunch Break
Lunch Break
13:00 - 14:00
Room: 222/R-001
14:00
14:00 - 14:45
Room: 222/R-001
Contributions

14:00 Scalable Gaussian Processes and the search for exoplanets - Daniel ForemanMackey (University of Washington)
14:45 Coffee Break
Coffee Break
14:45 - 15:00
Room: 222/R-001
15:00
15:00 - 18:00
Room: 222/R-001
Contributions

15:00 Deep Learning Tutorial - Peter Sadowski (University of California Irvine)
19:00 Buffet & Cocktail
Buffet & Cocktail
19:00 - 22:00
Room: Restaurant 1
Thursday 12 November 2015
09:00
09:00 - 13:00
Room: 222/R-001
Contributions

09:00 Data science in LHCb - Tim Head (Ecole Polytechnique Federale de Lausanne (CH))

09:45 Reusing ML tools and approaches for HEP data analysis - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

10:45 Real Time Processing - Caterina Doglioni (Lund University (SE)) Dustin James Anderson (California Institute of Technology (US)) Vladimir Gligorov (CERN)

11:30 The Retina Algorithm - Giovanni Punzi (Universita di Pisa & INFN (IT)) Luciano Frances Ristori (Fermi National Accelerator Lab. (US))

12:15 Machine learning, computer vision, and probabilistic models in jet physics - Ben Nachman (SLAC National Accelerator Laboratory (US)) Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))
13:00 Lunch Break
Lunch Break
13:00 - 14:00
Room: 222/R-001
14:00
14:00 - 14:45
Room: 222/R-001
Contributions

14:00 High-dimensional model estimation and model selection - Christian Mueller (Simons Foundation)
14:45 Coffee Break
Coffee Break
14:45 - 15:00
Room: 222/R-001
15:00
15:00 - 18:45
Room: 222/R-001
Contributions

15:00 An introduction to machine learning with Scikit-Learn - Gilles Louppe (CERN)

17:15 TMVA R/Scikit-learn interface - Sergei Gleyzer (University of Florida (US))
Friday 13 November 2015
09:00
09:00 - 12:00
Room: 222/R-001
Contributions

09:00 NVidia Tutorial - Gunter Roeth (NVidia) Julien Demouth (NVidia) Peter Messmer (NVidia)
12:00 Closing Remarks - Maria Spiropulu (California Institute of Technology (US))
Closing Remarks
- Maria Spiropulu (California Institute of Technology (US))
12:00 - 12:30
Room: 222/R-001
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: 222/R-001
14:00
14:00 - 16:00
Room: 222/R-001
Contributions

14:00 Welcome & Introduction - Jamie Shiers (CERN)

14:10 ALICE - Markus Bernhard Zimmermann (Westfaelische Wilhelms-Universitaet Muenster (DE))

14:15 ATLAS - Claire Adam Bourdarios (Laboratoire de l'Accelerateur Lineaire (FR))

14:20 CMS - Kati Lassila-Perini (Helsinki Institute of Physics (FI))

14:25 LHCb - Silvia Amerio (Universita e INFN, Padova (IT)) Silvia Amerio (University of Padova & INFN)

14:30 BaBar - Concetta Cartaro (SLAC)

14:35 Open Data @CERN - Sunje Dallmeier-Tiessen (Humboldt-Universitaet zu Berlin (DE)) Sunje Dallmeier-Tiessen (CERN)

14:50 LEP & Recast - Kyle Stuart Cranmer (New York University (US))

14:55 Open data and science reproducibility - Victoria Stodden (University of Illinois at Urbana-Champaign)

15:15 Discussion

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