Luis Barba Flores

Luis Barba Flores

Senior Data Scientist
Academia
(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

ML-ED

Completed
Increased spatial resolution in electron detectors through machine learning
Big Science Data

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

Publications

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
Gasparotto, P.; Barba, L.; Stadler, H.; Assmann, G.; Mendonça, H.; Ashton, A. W.; Janousch, M.; Leonarski, F.; Béjar, B. "TORO Indexer: a PyTorch-based indexing algorithm for kilohertz serial crystallography" Journal of Applied Crystallography 57 4 931-944 2024 View publication
Patel, N.; Salamanca, L.; Barba, L. "Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance" Preprint 2023 View publication

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Case Studies

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