Machine Learning Engineer at Nexthink SA, Lausanne (CH)
Since 07/19
- Research of data flow and storage architectures to support the next generation cloud product of Nexthink
- In-house artificial intelligence and statistical methods consulting
Julian Glatzer
Julian Glatzer is a physicist by training with a focus on the analysis of large datasets and the development of new prototypes. As a machine learning engineer at Nexthink SA he works on building the data science backbone of the Nexthink product in order to improve the digital experience of employees worldwide.
Julian is motivated by new challenges and enjoys to familiarize himself with novel technical topics. He appreciates the work in teams that are both diverse culturally and from the professional background of the members.
Curriculum Vitae
Experience
Associate Member of Personnel at CERN, European Organization for Nuclear Research (CH)
11/08 - 07/19
- Developed algorithms for the analysis of the petabyte-size data from proton collisions in the ATLAS Experiment at the Large Hadron Collider (LHC)
- Research on application of machine learning techniques for the local and cloud-based data analysis
- Major contributor to the operation of the experiment, prototyped new detector parts for upgrade
- More than 800 publications in renowned scientific journals
Marie Sklodowska-Curie Fellow at Universitat Autònoma de Barcelona (ES)
07/16 - 07/19
- Fellow of the Horizon 2020 COFUND programme of the European Union
- Developed a search for new Higgs bosons (C++ and Python, executed locally and on the Worldwide LHC computing grid), research on classification of events using machine learning, leader of the research group
- Coordinated 30 engineers, physicists and the 24x7 shift crew working on the collision data-taking with the ATLAS Tile Calorimeter
Postdoctoral Researcher at Albert-Ludwigs-Universität Freiburg (DE)
02/16 - 06/16
- Developed framework for statistical data analysis and machine learning methods for the classification of Higgs boson production and background
- Led research group of two postdocs, a Ph.D. and a M.Sc. student
Research Fellow at CERN, European Organization for Nuclear Research (CH)
10/13 - 12/15
- Extracted the fraction of top quark events with additional b-quarks using a multidimensional fit to collision data and statistical analysis of the results
- Commissioned new prototype for hardware real-time data acquisition system, wrote the software for the control of the FPGA-based event filter in multi-threaded C++ and a web-based monitoring suite with a strong focus on testing and validation to ensure stability and high availability
Education
Ph.D. (Dr. rer. nat.) in Physics at Albert-Ludwigs-Universität Freiburg (DE)
11/08 - 09/13
- Grade summa cum laude for thesis with title "Search for Neutral MSSM Higgs Bosons Decaying to τhτh in √s = 7 TeV Proton-Proton Collisions with the ATLAS detector"
- Pioneered new petabyte-size data analysis with selection, modelling and statistics routines written in C++
Master of Science in Physics at Rutgers - The State University of New Jersey (USA)
08/07 - 10/08
- Grade A, 4.0 (GPA) for thesis with title "Probing mSUGRA with a Search for Chargino-Neutralino Production using Trileptons"
- work at Fermi National Accelerator Laboratory
Contact Me
Address
Julian Glatzer
27, Impasse du Belvédère
01210 Ferney-Voltaire
France