

Benjamín Béjar Haro
Lead Data Scientist & group leader SDSC Hub at PSI
Research
Leadership & Administration
(Alumni)
Benjamín Béjar received a PhD in Electrical Engineering from Universidad Politécnica de Madrid in 2012. He served as a postdoctoral fellow at École Polytechnique Fédérale de Lausanne until 2017, and then he moved to Johns Hopkins University where he held a Research Faculty position until Dec. 2019. His research interests lie at the intersection of signal processing and machine learning methods, and he has worked on topics such as sparse signal recovery, time-series analysis, and computer vision methods with special emphasis on biomedical applications. Since 2021, Benjamin leads the SDSC office at the Paul Scherrer Institute in Villigen.
Projects
MAGNIFY
In Progress
Machine learning Assisted larGe scale quaNtIfication of building energy FlexibilitY
Energy & Sustainability
Large-scale Infrastructures
Academia
EUTHERMO
Completed
Scalable deep reinforcement learning algorithms for building climate control and energy management
Energy & Sustainability
Academia
ML-L3DNDT
Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Large-scale Infrastructures
Academia
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
Academia
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
Academia
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
Academia
Publications
Mentioned in


July 8, 2026
SDSC and PSI teams jointly explore the AI potential of large-scale infrastructures
SDSC and PSI teams jointly explore the AI potential of large-scale infrastructures
Tailored community event at PSI in Villigen, Aargau, reveals machine learning and AI opportunities in accelerating scientific discovery
Case Studies
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