List of Speakers & Panelists
Designation: Technical Director, EGI
Bio: Tiziana is Technical Director at the EGI Foundation, the coordinating body of EGI, the federated e-Infrastructure set up to provide advanced computing services for data-driven research and innovation. Through its partners at European and international level and strategic collaborations with research infrastructures, EGI leads innovation in high-throughput computing, cloud, data management and security.
Since January 2018, she is project coordinator of EOSC-hub, the EC funded project bringing together an extensive group of national and international service providers and research infrastructures to create the EOSC Hub: a central contact point for European researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Tiziana was formerly Chief Operations Officer of EGI, taking care of the operations coordination of the technical infrastructure, one the largest computing platforms for research in the world.
She is a promoter of the open science commons and participated in the definition of the EGI governance and service portfolio in the framework of the EGI_DS project. Tiziana holds a PhD in Electronics and Data Communications Engineering from the Universita’ degli Studi in Bologna.
Email: tiziana.ferrari@egi.eu
Website: www.egi.eu , www.eosc-hub.eu
Name: Dr Giovanni Lamanna
Designation: Director of the LAPP Laboratory, OBELICS workpackge leader
Email: lamanna@lapp.in2p3.fr
Website:http://lapp.in2p3.fr/
Name: Will Handley
Name: Sebastian Hoch
Name: Tony Wildish
Since January 2018, she is project coordinator of EOSC-hub, the EC funded project bringing together an extensive group of national and international service providers and research infrastructures to create the EOSC Hub: a central contact point for European researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Tiziana was formerly Chief Operations Officer of EGI, taking care of the operations coordination of the technical infrastructure, one the largest computing platforms for research in the world.
She is a promoter of the open science commons and participated in the definition of the EGI governance and service portfolio in the framework of the EGI_DS project. Tiziana holds a PhD in Electronics and Data Communications Engineering from the Universita’ degli Studi in Bologna.
Email: tiziana.ferrari@egi.eu
Website: www.egi.eu , www.eosc-hub.eu
Designation: Director of the LAPP Laboratory, OBELICS workpackge leader
Bio: Dr Giovanni Lamanna is the Research Director at CNRS (Centre National de la Recherche Scientifique), leading the high energy gamma-ray astronomy research at the laboratory LAPP (Laboratoire d'Annecy-le-Vieux de Physique des Particules) in France. He has contributed to large international collaborations such as AMS, ANTARES, H.E.S.S.and CTA. He is currently involved in the Cherenkov Telescope Array (CTA) international consortium, where he leads the Data-Management project and the French contribution to the design, development and construction of the first CTA Large Size Telescope. He has been cooperating during the last years with APPEC (the Astroparticle Physics European Consortium) on issues concerning optimal and efficient large-scale data analysis and management and has promoted the EU-T0 initiative. In 2013 he became computing and e-infrastructures policy manager at IN2P3 (the French national institute of nuclear and particle physics). He is one of the leading persons in the ASTERICS-H2020 project, coordinating the research activities on data challenges of new generation astronomical observatories in particular WP3-OBELICS
Email: lamanna@lapp.in2p3.fr
Website:http://lapp.in2p3.fr/
Name: Will Handley
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Name: Michael Kagan
Name: Ian Bird
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Designation: Panofsky Fellow at SLAC National Accelerator Laboratory
Bio: Michael Kagan is a Panofsky Fellow at SLAC National Accelerator Laboratory, and works as an experimental particle physicist on the ATLAS experiment at the LHC. After completing his Ph.D. at Harvard University working on the ATLAS Experiment, with Ph.D. supervisor Masahiro Morii, he continued his work as a post-doctoral research associate at SLAC. In 2016, he began as a Panofsky Fellow at SLAC. His work focuses on studying the details of the Higgs Boson and the nature of electroweak symmetry breaking in search for deviations from the predictions of Standard Model. A major piece of this work has been developing method to improve the ways in which data from the LHC experiments is analyzed by incorporating, applying, and developing machine learning ideas for use in High Energy Physics.
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Website: SLAC website: https://www6.slac.stanford.edu/
SLAC ATLAS group website: https://epp.slac.stanford.edu/research/atlas
ATLAS experiment website: http://atlas.cern/
Name: Matthew Viljoen
Bio: Michael Kagan is a Panofsky Fellow at SLAC National Accelerator Laboratory, and works as an experimental particle physicist on the ATLAS experiment at the LHC. After completing his Ph.D. at Harvard University working on the ATLAS Experiment, with Ph.D. supervisor Masahiro Morii, he continued his work as a post-doctoral research associate at SLAC. In 2016, he began as a Panofsky Fellow at SLAC. His work focuses on studying the details of the Higgs Boson and the nature of electroweak symmetry breaking in search for deviations from the predictions of Standard Model. A major piece of this work has been developing method to improve the ways in which data from the LHC experiments is analyzed by incorporating, applying, and developing machine learning ideas for use in High Energy Physics.
Email:
Website: SLAC website: https://www6.slac.stanford.edu/
SLAC ATLAS group website: https://epp.slac.stanford.edu/research/atlas
ATLAS experiment website: http://atlas.cern/
Name: Matthew Viljoen
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Name: Elena Cuoco
Name: Brian Matthews
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Designation: European gravitational observatory
Bio: Head of Data science office at European Gravitational Observatory, since March 2018 Associate Faculty at Scuola Normale Superiore.She has been working on Data Analysis for Virgo experiment since more than 20 years.
Website: https://www.virgo-gw.eu and https://www.elenacuoco.com
Bio: Head of Data science office at European Gravitational Observatory, since March 2018 Associate Faculty at Scuola Normale Superiore.She has been working on Data Analysis for Virgo experiment since more than 20 years.
After degree in Physics on Statistical Analysis in Astrophysics for Large Scale Structure of the Universe, she won a PhD fellowship and started working for Virgo experiment, becoming expert in noise analysis and system identification, developing algorithms for data conditioning and signals detection. She leaded the noise analysis group for Virgo from 2008 to 2014. She developed algorithms for data characterization and for the analysis of transient signals, working also with machine learning techniques in this field. From 2014 to 2018 she was the Scientific Coordinator on an Initial Training Network GraWIToN, addressed to the training of young scientist in Gravitational Wave research, and as main proposer she got the grant for a COST action "A network for Gravitational Waves, Geophysics and Machine Learning". She is co-chair of the Machine Learning informal group in the LIGO/Virgo collaboration.
Email: elena.cuoco@ego-gw.itWebsite: https://www.virgo-gw.eu and https://www.elenacuoco.com
Designation: Leader, Data Science and Technology Group ,Scientific Computing Department, Science and Technology Facilities Council
Bio: Brian Matthews is the Leader, Data Science and Technology Group, Scientific Computing Department,
Science and Technology Facilities Council, and is the project manager of the European Open Science Cloud Pilot project. He has 30 years of experience of research and development in computer science
and its application to scientific computing.
Email: brian.matthews@stfc.ac.uk
Website: www.stfc.ac.uk/scd
Science and Technology Facilities Council, and is the project manager of the European Open Science Cloud Pilot project. He has 30 years of experience of research and development in computer science
and its application to scientific computing.
Email: brian.matthews@stfc.ac.uk
Website: www.stfc.ac.uk/scd
Designation: WLCG Project Head
Bio: Dr. Ian Bird is currently the CERN Large Hadron Collider Computing Grid Project Leader, and also has responsibility in the CERN IT Department for all Physics Computing activities. He joined CERN in 2002 to participate in the LCG project to set up and deploy the worldwide grid in support of LHC computing.
Prior to joining CERN he spent 6 years at Jefferson Lab in Virginia, USA, where he was head of the computing group and responsible for all aspects of computing for the laboratory. His background and Ph.D. are in particle physics, and he has many years experience in software and computing for High Energy Physics experiments as well as in data analysis. Current research interests are in the areas of applying modern technologies to the management of distributed computing and distributed multi-petabyte scale data volumes for particle physics.
Email: Ian.Bird@cern.ch
Website: http://wlcg.web.cern.ch/
Bio: Dr. Ian Bird is currently the CERN Large Hadron Collider Computing Grid Project Leader, and also has responsibility in the CERN IT Department for all Physics Computing activities. He joined CERN in 2002 to participate in the LCG project to set up and deploy the worldwide grid in support of LHC computing.
Prior to joining CERN he spent 6 years at Jefferson Lab in Virginia, USA, where he was head of the computing group and responsible for all aspects of computing for the laboratory. His background and Ph.D. are in particle physics, and he has many years experience in software and computing for High Energy Physics experiments as well as in data analysis. Current research interests are in the areas of applying modern technologies to the management of distributed computing and distributed multi-petabyte scale data volumes for particle physics.
Email: Ian.Bird@cern.ch
Website: http://wlcg.web.cern.ch/
Designation: Researcher
Bio: Sebastian Hoch is a researcher at the Kiepenheuer-Institut für Sonnenphysik. His main interest is the reconstruction of atmospherically degraded images. He is responsible for data reduction and post processing of observations taken by the German solar telescopes. Currently he is investigating the applicability of machine learning to image reconstruction for the next generation of solar telescopes. After completing his Masters in Physics at the University of Freiburg in 2014 he started his PhD in high resolution solar physics. Since then he developed data pipelines, image reconstruction methods and visualisation tools for the BBI instrument at the GREGOR telescope. Sebastian has several years of experience in development of computer algorithms for image reconstruction, calibration, reduction, visualisation and analysis of scientific data.
Email: hoch@leibniz-kis.de
Website: http://www.leibniz-kis.de
Bio: Sebastian Hoch is a researcher at the Kiepenheuer-Institut für Sonnenphysik. His main interest is the reconstruction of atmospherically degraded images. He is responsible for data reduction and post processing of observations taken by the German solar telescopes. Currently he is investigating the applicability of machine learning to image reconstruction for the next generation of solar telescopes. After completing his Masters in Physics at the University of Freiburg in 2014 he started his PhD in high resolution solar physics. Since then he developed data pipelines, image reconstruction methods and visualisation tools for the BBI instrument at the GREGOR telescope. Sebastian has several years of experience in development of computer algorithms for image reconstruction, calibration, reduction, visualisation and analysis of scientific data.
Email: hoch@leibniz-kis.de
Website: http://www.leibniz-kis.de
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Bio: Tony got his PhD in High Energy Physics on the UA1 experiment at CERN, and went on scientific computing in a number of CERN experiments before moving to computing for bioinformatics. He now works at the European Bioinformatics Institute, supporting research groups who want to optimise their workflows, scale them up and port them to the cloud.
Email: wildish@ebi.ac.uk
Website: https://www.ebi.ac.uk/
Name: Fred Moolekamp
Name: Chiara De Sio
Designation: Research grant, INFNBio: Tony got his PhD in High Energy Physics on the UA1 experiment at CERN, and went on scientific computing in a number of CERN experiments before moving to computing for bioinformatics. He now works at the European Bioinformatics Institute, supporting research groups who want to optimise their workflows, scale them up and port them to the cloud.
Email: wildish@ebi.ac.uk
Website: https://www.ebi.ac.uk/
Designation: Professor of physics at Rider University
Bio: Fred is a newly appointed professor of physics at Rider University. He began a career in software development before returning to school to earn a B.S. in Physics at the University of New Orleans and obtain a PhD in Physics and Astronomy from the University of Rochester. He recently finished a 2 year post doc at Princeton University working on the LSST software pipeline and is still continuing work on the LSST deblender, which is also planned to be implemented in the future WFIRST joint processing pipeline.
Email: fmoolekamp@rider.edu
Website: https://www.astro.princeton.edu/~fredem/
github: https://github.com/fred3mBio: Fred is a newly appointed professor of physics at Rider University. He began a career in software development before returning to school to earn a B.S. in Physics at the University of New Orleans and obtain a PhD in Physics and Astronomy from the University of Rochester. He recently finished a 2 year post doc at Princeton University working on the LSST software pipeline and is still continuing work on the LSST deblender, which is also planned to be implemented in the future WFIRST joint processing pipeline.
Email: fmoolekamp@rider.edu
Website: https://www.astro.princeton.edu/~fredem/
Name: Chiara De Sio
Bio: Chiara got her PhD in Physics at University of Salerno, working on Deep Learning applications for event classification and track reconstruction in the KM3NeT Experiment. She is currently working on the application of Deep Learning techniques to the kinematical study and identification of neutrino events in astroparticle Cherenkov detectors, with the aim of incorporating the software tools created into the ASTERICS (H2020) products.
Institute/Organization: http://www.km3net.org, http://home.infn.it/it/
e-mail: cdesio@unisa.it
