Benjamín Béjar Haro
Lead Data Scientist & group leader SDSC Hub at PSI
Academia
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, Climate & Environment
SDATE
In Progress
Smart Data Acquisition for Tomoscopy Experiments
Large-scale Infrastructures
DataXAS
In Progress
Data science for X-ray Absorption Spectroscopy
Large-scale Infrastructures
EUTHERMO
Completed
Scalable deep reinforcement learning algorithms for building climate control and energy management
Engineering
ML-L3DNDT
Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Large-scale Infrastructures
LAMP
Completed
Lensless Actinic Metrology for EUV Photomasks
Large-scale Infrastructures
DS4MS
Completed
Data Science for Multiplexing Spectrometers
Large-scale Infrastructures
DUPLET
In Progress
DUal Positron Lifetime Emission Tomography
Biomedical Data Science
ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
COVID-19
Completed
Epidemic Forecasting
Biomedical Data Science
Large-scale Infrastructures
Digital Administration
Publications
Mentioned in
Case Studies
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