Luis Barba Flores

Senior Data Scientist

Research

(Alumni)

Luis Barba Flores joined the SDSC in 2022 as Senior Data Scientist. He received a joined PhD in Computers Science in 2016 from the Université Libre de Bruxelles and Carleton University. He served as a postdoctoral researcher at ETH Zurich from 2016 to 2019, and then moved to EPFL Lausanne to work in the Machine Learning and Optimization Group until 2022. His research interests include distributed optimization algorithms, first-order optimization methods and their applications to Deep Learning models.

Projects

SDATE

In Progress

Smart Data Acquisition for Tomoscopy Experiments

Academia

LAMP

Completed

Lensless Actinic Metrology for EUV Photomasks

Academia

ML-ED

Completed

Increased spatial resolution in electron detectors through machine learning

Academia

CHIP

In Progress

MaCHIne-Learning-assisted Ptychographic nanotomography

Academia

RED-ML

Completed

Reduction of high volume experimental data using machine learning

Academia

Publications

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Poghosyan, E.; Xie, X.; Reuteler, J.; Paton, K. A.; Flores, L. B.; Haro, B. B.; Fröjdh, E.; Bergamaschi, A.; Müller, E. "Sub-Pixel Electron Beam Alignment for Machine Learning Characterization of Hybrid Pixel Detectors" Preprint 2026 View publication 

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Ansuinelli, P.; Saha, S.; Flores, L. F. B.; Haro, B. B.; Ekinci, Y.; Mochi, I. "Prior–primed deep neural network based EUV mask inspection" Optics Express 33 6 12572 2025 View publication 

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Xie, X.; Barba Flores, L.; Bejar Haro, B.; Bergamaschi, A.; Fröjdh, E.; Müller, E.; Paton, K.; Poghosyan, E.; Remlinger, C. "Enhancing spatial resolution in MÖNCH for electron microscopy via deep learning" Journal of Instrumentation 19 1 C01020 2024 View publication 

Mentioned in

July 8, 2026

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

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Case Studies

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