Leonardo Ayala
Data Scientist Physicist
Heidelberg, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolLeonardo Ayala is a data scientist and physicist specializing in machine learning and spectral imaging for medical applications. He leverages parallel computing to model biological interactions and generate synthetic data, drawing on experience across AI, physics, material science and medical imaging. He earned a PhD in Medical Informatics from Heidelberg University, where his work focused on translating spectral imaging methods into clinical practice with deep learning, and he currently leads the Spectral Imaging team at the German Cancer Research Center. Based in Heidelberg, Germany, his career includes an Optical Research Scientist role at the University of El Salvador and a Data Scientist/Physicist position at DKFZ since 2020. He combines rigorous physics-based modeling with data-driven approaches to bring advanced imaging technologies toward routine clinical use.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Universidad de El SalvadorDoctor of Philosophy - PhD, Medical Informatics, Doctor of Philosophy - PhD, Medical Informatics at Heidelberg UniversityMaster of Science - MS, Physics, Master of Science - MS, Physics at Instituto Balseiro
English, Spanish, German
Github Skills (90)
image-processing10
acoustics10
photonics10
ray-tracing10
monte-carlo10
matlab10
pascal10
simulation10
gradient-boosting9
simulator9
photon9
transport9
shapley9
imaging9
machine-learning9
Programming languages (4)
Github contributions (5)
IMSY-DKFZ/xilens
Aug 2024 - Feb 2025
XiLens is an application that is used to record image and video sequences from the XIMEA cameras.
Contributions:2 releases, 47 PRs, 94 pushes in 5 months
image-recordingqt6video-recording
leoyala/leoyala.github.io
Aug 2020 - Mar 2023
Contributions:90 commits, 101 pushes, 1 branch in 2 years 7 months
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