International Advisory Committee

An International Advisory Committee has been set up, combining Machine Learning experts and High Energy Physics tracking experts. His task is to attribute the HEP meets ML special prizes (a NVIDIA V100 GPU, and two invitations to NIPS 2018 or CERN in 2019).

Markus Elsing, CERN senior staff, group leader of the ATLAS computing and software group. He is expert in tracking and pattern recognition techniques. As Inner Detector software coordinator he was responsible for the development of the current ATLAS tracking code. Co-organiser of the CERN data science seminars and editor in chief of the journal “Computing and Software for Big Science."

Frank Gaede senior physicist at DESY (Germany) is software coordinator for ILD, the experiment on the future International Linear Collider, and coordinator of european AIDA2020 Work Package 3 on advanced software. He has designed and developed pattern recognition and track fitting code for ILD.

Alison Lowndes is responsible for NVIDIA's Artificial Intelligence Developer Relations in the Europe, Middle East & Africa region. With a theoretical computer science and physics background she consults on a wide range of AI applications, including planetary defence with NASA, ESA & the SETI Institute. She also travels, advises on and teaches NVIDIA’s GPU Computing platform, around the globe. @AlisonBLowndes.

Maurizio Pierini is a CERN physicist, working on the CMS experiment at the Large Hadron Collider. With expertise in searches for physics beyond the standard model and a consolidated experience with optimizing real-time data processing and selection, he is now working on developing Deep Learning solutions for particle physics. @xmpierinix

Danilo Rezende is Staff Research Scientist at Google DeepMind, working on general-purpose machine reasoning and learning algorithms. Trained in both theoretical physics and computational neuroscience, is research focus on scalable probabilistic and inference methods applied to deep generative models of scenes, images and video. @DeepSpiker

Marc Schoenauer is senior scientist at INRIA-Saclay (France), co-leading the TAU team on Machine Learning and Optimization. Working at the interface between Evolutionary Computation and Machine Learning, he is or has been in the scientific boards of several related scientific journals and major conferences. He was a member of the “Villani mission”, who recently delivered a report for a national French strategy for AI.

Svyatoslav Voloshynovskyy is associate professor at University of Geneva, head of the Stochastic Information Processing Group, engaged in Big Data projects in solar physics, astronomy, quantum physics, privacy and security using large-scale machine learning based image processing.