Raffaele Cheula
Postdoctoral Researcher (Marie Curie Fellowship - Return Phase) at Aarhus University
Aarhus, Central Denmark Region, Denmark
Summary
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Senior🎓
Top SchoolRaffaele Cheula is a postdoctoral researcher specializing in multiscale simulation and microkinetic modeling of heterogeneous catalytic processes, combining density functional theory with data-driven techniques. With eight years of research experience across Politecnico di Milano, Carnegie Mellon and Aarhus University—supported by a Marie Curie Fellowship—he builds automated Python workflows to accelerate catalyst modeling and analysis. His work bridges first-principles calculations and machine learning to predict structure-dependent activity of nanoparticle catalysts under realistic conditions. Trained in chemical engineering with international research stays (including Yonsei and Pittsburgh), he brings both deep theoretical rigor and practical coding fluency to complex catalytic systems. A detail that sets him apart is his focus on workflow automation, turning traditionally manual DFT-to-microkinetics pipelines into reproducible, scalable tools for catalytic discovery.
8 years of coding experience
3 years of employment as a software developer
Visiting student, Visiting student at Yonsei University 연세대학교Master's degree, Chemical Engineering, 110/110, Master's degree, Chemical Engineering, 110/110 at Politecnico di MilanoDiploma scientifico, Diploma scientifico at Liceo scientifico Vittorio Sereni
Italian, English, SpanishGithub contributions (5)
raffaelecheula/supercells
Oct 2017 - Sep 2022
Contributions:81 commits, 56 pushes, 1 branch in 5 years
raffaelecheula/nanoparticles_ensembles
Feb 2020 - Mar 2022
Contributions:61 commits, 55 pushes, 1 branch in 2 years 1 month
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