About Us

The Computational science and Artificial Intelligence (CAI) group develops the methods and computational tools used by beamline scientists and APS users to process and interpret experimental data. Our efforts are directed both towards the development of techniques and software to quickly and efficiently analyze data from existing x-ray characterization tools at the APS, and towards the development of new computational and AI-enabled methods that expand the suite of x-ray characterization tools at the APS.

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Group Members

Nina Andrejevic
Nina Andrejevic
Maria Goeppert Mayer Fellow

Physics-aware Deep Learning, Data-driven discovery

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Tekin Bicer
Tekin Bicer
Computer Scientist

High Performance Computing, Workflows, Large-scale Imaging

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Mathew J. Cherukara
Mathew J. Cherukara
Group Leader & Computational Scientist

Deep Learning, Coherent Imaging

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Wendy
Zichao (Wendy) Di
Computational Mathematician

Advanced Optimization, Multi-modal Analysis

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Ming
Ming Du
Assistant Computational Scientist

Automatic Differentation, Deep Learning, Experimental Automation

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Doga
Doga Gursoy
Computational Scientist

Computational imaging, inverse problems in imaging sciences

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Aileen
Aileen Luo
DOE SCGSR Fellow

Deep learning, nanoscale imaging

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Hemant
Hemant Sharma
Computational Scientist

High Energy Diffraction Microscopy, Workflows

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Brian
Brian Toby
Senior Physicist

Crystallography, GSASII

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Ash
Ashish Tripathi
Assistant Computational Scientist

3D imaging, Coherent Surface Scattering Imaging (CSSI)

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Michel
Michel van Veenendaal
Physicist

Theory, Computational Modeling, Spectroscopy

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Bob
Robert von Dreele
Argonne Associate

Crystallography, GSASII

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