Engin Eren

Engin Eren is a Software Developer at Helmholtz Imaging since 2023, with a background in experimental particle physics and machine learning research. He previously worked at DESY, contributing to proton structure measurements and CMS group operations at CERN, followed by a private-sector stint as a DevOps engineer.

• PhD in experimental particle physics (2018), focusing on the Compact Muon Solenoid (CMS) experiment at DESY.
• Postdoctoral research at DESY (2018-2021) under the Helmholtz AI grant, specializing in Machine/Deep Learning R&D and MLOps for imaging detectors in future linear collider experiments.
• Current role involves advancing imaging pipelines, deep learning applications, and fostering collaborations with research units at Helmholtz Imaging.

His research interests span Machine Learning, Deep Learning, Imaging Detectors, and Scientific Computing, with a focus on integrating AI into experimental physics workflows.

Scientific Awards:

• Helmholtz AI grant (fellowship for postdoctoral research).

Engin supports Helmholtz Imaging's IT infrastructure and leads innovation in deep learning pipelines. He is based at DESY's Hamburg campus (Notkestrasse 85, D-22607 Hamburg) and collaborates with DESY IT – Research and Innovation in Scientific Computing (RIC).