Starting off as a physicist, Axel studied physics and math in Muenster, Germany. In 2000, he got a Ph.D. position for high energy physics in Nijmegen, The Netherlands. They sent him to Fermilab at Chicago, where he worked with the DØ experiment - which also meant writing software from PCI drivers to data analysis code. During that time he got involved with ROOT, converting from a user to a developer. He contributed to whatever he needed, e.g. the statistics part, the documentation engine, and porting it to cygwin. After a position with the Fermilab Computing Division in 2005 he ended up at CERN in the ROOT development team. Axel is leading the ROOT project since 2017.
Enric Tejedor received his Ph.D. from the Technical University of Catalonia (UPC, Spain) in 2013. He conducted his doctorate research as a member of the Grid Computing and Clusters group of the Barcelona Supercomputing Center, where his researched focused on parallel programming models for distributed infrastructures and where he participated in several EU research projects. As part of his Ph.D., he also carried out two nternships at the IBM T.J. Watson Research Center (NY, USA). In 2015 he joined the CERN EP-SFT group as a senior fellow and later became a staff member. He is currently working on ROOT parallelization, the ROOT Python bindings and the SWAN service. He is also one of the administrators of the Google Summer of Code student program (GSoC) at CERN-HEP Software Foundation.
Enrico is a physicist turned computer scientist. His first experience at CERN was as Openlab summer student in 2015, during which he worked on multi-process analysis interfaces for ROOT. In 2016, he graduated cum laude from the Department of Physics of the University of Milan. His master's degree focused on statistical physics and computational methods for physics. He stably joined the ROOT team in 2016, first as a computer science doctoral student, funded by the Wolfgang Gentner Scholarships programme, and then as a CERN fellow. His most relevant contributions have been in the performance and programming model of ROOT's data analysis interfaces, and he is author and current maintainer of RDataFrame.
Jakob joined CERN for the first time as a summer student in 2007. He graduated from the University of Karlsruhe and obtained a PhD in computer science from the Technical University of Munich. Jakob works on distributed systems and storage software. He created the CernVM File System, which he evolves ever since. Jakob has been a Marie Curie fellow and a visiting scholar at the RAMCloud research group at Stanford University. In the ROOT team, Jakob works on the columnar data storage for event data, searching for ever faster and more robust ways to read and write hierarchically nested ntuples.
Javier Lopez Gomez
Javier is a computer scientist from University Carlos III of Madrid. During the last few years, his focus has been on low-level software (e.g. operating systems, embedded software and electronics, and compilers). He will finish his PhD in October 2020. His thesis is focused on providing techniques that improve software reliability while achieving a good trade-off between reliability and performance. During his PhD, he collaborated with the ROOT project; specifically, he worked on supporting entity redefinition on the Cling C++ interpreter. He joined EP-SFT again as a fellow in September 2020, where he will work on improving ROOT's RNtuple storage layer.
Jonas graduated with a M.Sc. in Computer Science from RWTH Aachen University and joined CERN as a Junior Fellow in November 2020. In the EP-SFT group, he works on GPU-related topics in ROOT and the simulation R&D subgroup.
Jonas is a particle physicist with a strong interest in high-performance computing and data science. For his Ph.D. from the École polytechnique in Paris, he worked for the CMS experiment at the Large Hadron Collider on electron reconstruction and multiboson analyses. Jonas joined the ROOT team in 2021 as a senior fellow to work on RooFit support and development. He aims to speed up RooFit with modern technologies such as heterogeneous computing on GPUs and automatic differentiation. He further improves the RooFit experience with modern C++, updates to the Python bindings, and enhancements to the higher-level statistical tools such as HistFactory.
Lorenzo started working in 1989 as an experimental physicist for the ALEPH experiment working for data analysis and software event reconstruction. He graduated in Pisa in 1990 and he received his Ph.D. in particle physics in 1994 at the University of Florence. Afterwards, since 1997, he was working for data analysis of the CDF experiments and online software for the ATLAS experiment. In 2002 he joined the physics application software group of CERN, and since 2005 he joined the ROOT team with the responsibility of the Math work package, which provides development and support for the ROOT mathematical and statistical libraries.
Currently, I am employed as a software developer from the University of Nebraska-Lincoln (CMS), based at CERN and working as a core developer in the ROOT framework. My area of research is a various improvement for ROOT I/O, particularly ROOT compression algorithms. Another area of investigation is work on improved ROOT modularity for the build system. I was involved in support of C++ modules in ROOT and performance benchmarking of ROOT. I did my doctoral studies in Simulation group at CERN, working in GeantV project (EP-SFT, CERN). Previous work experience was a long term work in Ukrainian Grid Initiative on various positions, including responsibilities on grid sites management and experiment support, administration, and security management.
Olivier Couet received a Physic's Master from the Strasbourg University and a Master’s Degree in Engineering from the Ecole Nationale Supérieure de Physique de Strasbourg (ENSPS) on work in computer graphics and image processing in 1985. He then performed his Ph.D work (in Computer Graphics) at the Laboratoire D'Annecy le Vieux de Physique des Particules (LAPP) on the PAW project. He has been employed by CERN since 1988. He was one of the main authors of the PAW system, more precisely its graphical components (HIGZ and HPLOT). HIGZ has been the standard graphics package in High Energy Physics for years and is still being used. He was responsible for the PAW system from 1995 until he joined the ROOT team in 2002 and took responsibility of the graphics work package.
Philippe Canal has been working in the FNAL Computing Division since 1995. Philippe graduated from Ecole Centrale Paris and has a Master in Computer Science from Northwestern University. Philippe is responsible for the development of the I/O sub-system and the Tree query mechanism and oversee the overall architecture of ROOT. Philippe coordinates the support for ROOT for all FNAL experiments.
Stefan studied physics at the Karlsruhe Institute of Technology with focus on data analysis, machine learning and software development. Previous projects have been with the Belle and CMS experiments about the integration of modern machine learning in the reconstruction and data analysis toolchain. After his first stay at CERN in 2016 as summer student with the CMS experiment, he returned to CERN in 2018 as PhD working in the ROOT team on machine learning and analysis facilities.
Vassil graduated from the University of Plovdiv Paisii Hilendarski, Bulgaria. He received a MSc in Software Technologies and a PhD in Computer Science with specialization in programming languages and visual programming. He joined the ROOT team in 2010, authoring Cling - the interactive, LLVM-based C++ interpreter. He was one of the core engineers involved in ROOT6. Vassil is responsible for the implementation and adoption of clang's C++ modules (PCMs) in ROOT. He also helps with interpreter and reflection related activities in the ROOT project. He works on the CMS interests in the ROOT collaboration including development, trouble shooting, and any other activities as may be required. From January, 2017, Vassil is employed by Princeton University and part of the Princeton Intel Parallel Computing Center (IPCC) project, which focuses on code modernization in ROOT.
Vincenzo Eduardo Padulano
Vincenzo graduated with a B.Sc. in Physics and a M.Sc. in Data Science at the University of Milano-Bicocca. He started working at CERN in the summer of 2019 for the ROOT team as an intern to develop his master thesis. During that experience he focused on blending state-of-the-art software and techniques from the data science community (namely Spark and Kubernetes) with ROOT analysis. Currently member of the ROOT team as a CERN Doctoral Student and enrolled in the Computer Science PhD program at the Polytechnic University of Valencia. His area of research is in developing distributed computing solutions for the ROOT framework.