Benjamin 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
ML-L3DNDT
Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Big Science Data
LAMP
In Progress
Lensless Actinic Metrology for EUV Photomasks
DS4MS
In Progress
Data Science for Multiplexing Spectrometers
DUPLET
In Progress
DUal Positron Lifetime Emission Tomography
ML-ED
In Progress
Increased spatial resolution in electron detectors through machine learning
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Big Science Data
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Big Science Data
4D-Brains
Completed
Extracting Activity from Large 4D Whole-Brain Image Datasets
Biomedical Data Science
COVID-19
Completed
Epidemic Forecasting
Biomedical Data Science
Big Science Data
Digital Administration
Neuro-choice
Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Big Science Data
Publications
Mentioned in
Case Studies
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