Below is a list of all the participants of the AMVA4NewPhysics network, grouped by institution.
Tommaso Dorigo is a researcher at INFN-Padova. He is the coordinator of the AMVA4NewPhysics network and main supervisor of the ESR enrolled in Padova. Dorigo is a member of CMS, where he serves in the CMS Statistics Committee, and is active in Higgs boson studies.
Paolo Checchia is a director of research at INFN-Padova. Checchia is the head of the CMS-Padova group and he is active in Higgs boson studies. For the first two years of the network, he served as its deputy coordinator.
Franco Simonetto is a Professor of Physics at the University of Padova; he is associated to INFN and is a co-supervisor of the ESR hired by INFN. The center of Simonetto’s interests are B physics measurements and new physics searches.
Martino dall’Osso is a post-doctoral scientist who participates in the searches for Higgs boson pair-production. He has also a very active role in the development of pixel sensors for the CMS detector.
Pablo de Castro Manzano is a Ph.D. student at the Department of Physics of the University of Padova and holder of the INFN ESR grant provided by the AMVA4NewPhysics network. He graduated from the University of Cantabria, Spain, where he also worked as a research project associate. He is a member of the CMS collaboration and will apply advanced machine learning techniques to the study of double Higgs production at the LHC.
Sabine Hemmer is an associate researcher at the University of Padova. She is the Press Office manager of the AMVA4NewPhysics network and editor of the blog.
University of Oxford:
Daniela Bortoletto is a Professor of Physics at the University of Oxford. She is the chair of the Supervisory Board of AMVA4NewPhysics and the main supervisor of the ESR enrolled in Oxford. Bortoletto is a member of the ATLAS collaboration and she leads a group active in Higgs boson searches and measurements.
Ian Shipsey is a renowned expert in b-physics in the ATLAS collaboration. He contributes to the ESR training and research within the AMVA4NewPhysics network.
Cigdem Issever is a Professor at Oxford, as well as a convener of the ATLAS JetEtMiss Combined Performance group. She co-supervises the ESR recruited at Oxford.
Cecilia Tosciri is a Ph.D. student at the University of Oxford and holder of an ESR grant provided by AMVA4NewPhysics. She graduated from the University of Pisa and acquired competences on data analysis during a long internship at Fermilab, working on a research project within the CDF experiment. As a member of the ATLAS collaboration she works on detailed studies of the Higgs boson, using advanced machine learning methods for signal extraction and measurements.
Université Blaise Pascal:
Julien Donini is a Professor of Physics at the Université Blaise Pascal in Clermont-Ferrand and the main supervisor of the ESR enrolled in UBP. A member of the ATLAS collaboration, his research focuses on top physics and new physics searches.
David Calvet is Senior Researcher at the CNRS. He is an expert in searches for new physics involving the top quark with the ATLAS experiment and he has extensive skills in computing and development of statistical tools.
Emmanuel Busato is an associate professor at the Université Blaise Pascal. He is a member of the School of Statistics and contributes to the project by giving high-level lectures on statistics to the ESRs.
Fabricio Jiménez is a doctoral student and ESR at UBP. He works on General Searches for New Phenomena using the ATLAS detector at the LHC. He previously collaborated with the CMS experiment as an undergraduate in searches for double Higgs boson production (CERN), low-mass Higgs searches (IPN-Lyon) and R&D for the upgrade of the Tracking Trigger (Fermilab). His work aims at taking profit from modern machine learning techniques in the context of searches for new physics in ATLAS.
Université Catholique de Louvain:
Christophe Delaere supervises the ESR on matrix-element methods at UCL. He is an experimentalist leading the effort toward the development and implementation of a new generation of Matrix Element Methods in CMS. He is also a main developer of the Delphes package.
Vincent Lemaitre acts as co-supervisor and research participant in the network. He is an experimentalist leading the effort toward the development and implementation of a new generation of Matrix Element Methods in CMS. He is also a main developer of the Delphes package.
Fabio Maltoni is a Professor of Physics at Université Catholique de Louvain. He is the author of MadGraph, a widely used program to simulate subatomic reactions and compute their rates. He has written several groundbreaking papers on Higgs boson phenomenology.
Andrea Giammanco is a researcher at UCL, the actingdeputy coordinator as well as the Events and Training Officer of the AMVA4NewPhysics network. He is interested in data analysis, simulations, phenomenology, non-HEP applications of HEP techniques and vice versa. Member of the CMS collaboration, where he co-coordinated the Simulations and the Top Quark groups in the past. Active since recently in cosmic-ray-based tomography of large geological structures. He is also one of the authors of the Delphes package.
Alessia Saggio is a Ph.D. student at UCL and the holder of an ESR grant of the network. She graduated in Particle Physics at the University of Catania (Italy), where she acquired competences in data analysis and simulations. She will work on the implementation of learning tools for Matrix Element Methods in the CMS collaboration.
Laboratório de Instrumentação e Física Experimental de Partículas:
Joao Varela is a Professor of Physics at the University of Lisbon and a reasearcher at LIP. A former deputy spokesperson of CMS, he is the Project Coordinator of the precision proton spectrometer of CMS. He leads the CMS LIP team in Higgs physics analyses and supervises the work of the ESR focusing on Higgs decays to tau leptons.
Michele Gallinaro is a researcher at LIP. He is the physics coordinator of the LIP-CMS group and he leads searches for charged Higgs bosons to tau leptons. He is the co-supervisor of the LIP ESR.
Joao Seixas is a Professor at the University of Lisbon and a researcher at LIP. He is a member of CMS and deputy leader of the LIP-CMS group. He has long experience in neural networks and other MVA techniques in HEP.
Giles Strong is the AMVA4NewPhysics ESR grant-holder at LIP and a PhD student at the University of Lisbon. He will participate in research as part of the CMS collaboration by developing and tailoring MVA tools for Higgs studies in the tau-tau decay channel.
Konstantinos Vellidis is a Professor of Physics at the University of Athens. He has formerly been the spokesperson of the glorious CDF experiment at the Fermilab Tevatron collider. Kostas is the PI of the IASA note of the network and he collaborates together with the IASA group to the CMS experiment in the search for new physics.
Niki Saoulidou is a Professor of Physics at the University of Athens. Her research activities center on the CMS experiment, where she leads several data analyses employing hadronic jets to search for new physics signatures involving heavy new particles. In AMVA4NewPhysics she has the role of Equal Opportunities Officer.
Ioanna Papavergou is the ESR hired by the IASA node of the network in March 2017. Born in Greece, where she has first studied physics, Ioanna has done her master in astrophysics at the University of Amsterdam under the advisory of prof. Gianfranco Bertone. She is now back to physics with the aim of discovering dark matter with CMS!
Eirini Tziaferi is a post-doctoral scientist at the University of Athens and a researcher at IASA. She is one of the key analyzers of the CMS High-Priority analysis for Run 2, using jets to search for physics beyond the standard model.
Stilianos Kesisoglou is a post-doctoral scientist at the University of Athens and a researcher at IASA. He is a member of CMS and works on SUSY searches, in particular on scenarios that may have escaped present searches (such as compressed spectra).
Università di Padova:
Giovanna Menardi is an Assistant Professor at the department of Statistical Sciences of the University of Padova. Her research activity focuses on classification and clustering methods in data mining. She supervises the ESR working on the development of new statistical learning applications for particle physics.
Bruno Scarpa is Associate Professor at the department of Statistical Sciences of the University of Padova and is the co-supervisor of the ESR hired in Padova. He is instructor of graduate courses in data mining and data analysis and is the author of many articles on statistics and machine learning and of an introductory book on data mining.
Livio Finos is Associate Professor at the department of Developmental Psychology and Socialisation and former researcher at the department of Statistical Science.
Grzegorz Kotkowski is a Ph.D. student at the Department of Statistics of the University of Padova and holder of an ESR grant provided by the AMVA4NewPhysics network. He graduated from the Wroclaw University of Technology, Poland, and subsequently was employed by Datarino, where he acquired hands-on experience in data mining on very large datasets.
Philippe Bloch was the PI of the CERN node in AMVA4NewPhysics until his retirement from his position of Senior Physicist at CERN in June 2017. He was a member of the CMS collaboration and was for five years the head of the Physics department at CERN. Previously he was the project leader of the CMS Electromagnetic Calorimeter.
Paris Sphicas is a Senior Scientist at CERN and deputy spokesperson of the CMS experiment, where he has previously held various positions, including Computing/Software/Trigger and Physics coordinator and later chair of the publication committee. He has been a driver of SUSY searches and is the main supervisor of one of the two ESRs enrolled at CERN, working on new physics searches.
Tancredi Carli is a Senior research physicist at CERN and a member of the ATLAS collaboration. He is a renowned expert in calorimetry, QCD, and top quark physics. In AMVA4NewPhysics he supervises an ESR and served as Events and Training Officer for the first half of the project.
Anna Stakia is a PhD student and the holder of an ESR grant of the network in the Experimental Physics (EP) Department of CMS at CERN. She works on the utilisation and optimisation of Multivariate Analysis (MVA) methods and tools in the context of searches for new physics.
Markus Stoye is a CERN staff member who works in the CMS experiment. He is very active in machine learning applications, focusing on tools to improve our discovery reach for SUSY particles. He has developed a new neural-network based b-tagging algorithm which outperforms more conventional methods.
Alexander Held is a Ph.D. student at the University of British Columbia in Vancouver, and a CERN-based ESR of the network. As a member of the ATLAS collaboration, he is studying Higgs production in association with top quarks; his focus are applications of the Matrix Element Method in this context.
Technische Universität München:
Andreas Weiler is a Professor of Physics at Technische Universität München, where he supervises the AMVA4NewPhysics ESR working on automatical model testing and phenomenological studies of new physics.
Seng Pei Liew is an ESR at Technische Universität München, where he started in February 2017 to work on the phenomenology of dark matter in LHC searches, under the advisory of Andreas Weiler.
University of California – Irvine:
Daniel Whiteson is a Professor of Physics and Astronomy at UCI and a member of the ATLAS collaboration. At the center for Machine Learning of UC Irvine he co-supervises three ESRs during two-month secondment periods, developing with them deep neural networks for new physics searches.
Ecole Polytechnique Federale – Lausanne:
Victor Panaretos is a Professor of Mathematical Statistics at EPFL, where he co-supervises AMVA4NewPhysics ESRs during one-month secondments aimed at deepening their knowledge on MVA methods. His research centers on stochastic modeling applied to natural sciences.
Anthony Davison is a Professor of Statistics at EPFL. He is an author of three books on statistical models and methods and 150 journal contributions on statistical theory and applications.
Universidad de Oviedo:
Pietro Vischia is a post-doc at Universidad de Oviedo. He also serves as member of the CMS Statistics Committee. He is the Outreach Officer of the AMVA4NewPhysics network.
Michel Herquet, a former researcher in theoretical particle physics works at B12 Consulting and is the co-supervisor of two AMVA4NewPhysics ESRs during their three-months secondment periods at his company.
Geoffroy Piroux has expertise in statistics and advanced front-end software development techniques and he is a former researcher in Statistical Physics.
Vincent Boucher has expertise in algorithmic, databases and mass computing. He is a former researcher in Cosmology.
Maurizio Sanarico is a Chief Data Scientist at SDG, where he co-supervises three ESRs during three-month secondments in Milano, when they are involved in the study of topological multi-scale analysis techniques.
Daniele Frigo has 12 years of multinational industry and management consulting experience. He has also wide experience as architect on large Data Warehouse implementations.
Andrey Ustyuzhanin is the Head of the joint CERN-Yandex project at Yandex, where he co-supervises three AMVA4NewPhysics ESRs during three-months secondments in Moscow, where they work at the application of multi-variate analysis for web searches and data mining.
Mikhail Roizner is the head of the recommendation system development group at Yandex.
Pavel Serdyukov is the head of the research development at Yandex, with extensive expertise in Information Retrieval.
Ilya Narsky works at MathWorks. He is an expert on MVA techniques and has written a popular book on the topic. He co-supervises two AMVA4NewPhysics ESRs during three-month secondments in Boston, where they are involved in the development of software products for advanced data analysis.
Jeffrey Gruneich is Science Industry Manager for MathWorks, where he is responsible for growing global usage of Matlab in the sciences.
Tom Lane manages the development for the MatLab Statistics and Machine Learning toolbox.