Luca Ambrogioni
Assistant Professor at Donders Institute for Brain, Cognition and Behaviour
Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolLuca Ambrogioni is an Assistant Professor at the Donders Institute with 11 years of experience bridging probabilistic deep learning, Gaussian processes, variational inference and probabilistic programming. He combines academic research with hands-on Python software development, collaborating with the TensorFlow Probability team to design and implement automatic variational inference algorithms. His background in computational neuroscience and a PhD in machine learning underpin applied work in neuroimaging—evidenced by substantive contributions to the widely used FieldTrip toolbox, where he extended frequency-domain source reconstruction methods. Based in Utrecht, he blends theoretical rigor with practical tool-building, bringing neuroscience insight to scalable probabilistic modeling.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computational neuroscience, Cum laude, Master of Science - MS, Computational neuroscience, Cum laude at Radboud UniversitySelected courses, Electrical and Electronics Engineering, -, Selected courses, Electrical and Electronics Engineering, - at Alma Mater Studiorum – Università di BolognaOIST Computational Neuroscience Course, Computational Neuroscience, -, OIST Computational Neuroscience Course, Computational Neuroscience, - at Okinawa Institute of Science and Technology Graduate University (OIST)Doctor of Philosophy - PhD, Machine learning and theoretical neuroscience, Doctor of Philosophy - PhD, Machine learning and theoretical neuroscience at Radboud University Nijmegen
Github Skills (8)
megaparsec10
analyse10
matlab10
neuroimaging10
beam9
beamer9
statistics8
time-frequency8
Programming languages (5)
Github contributions (5)
fieldtrip/fieldtrip
Mar 2015 - Dec 2015
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:16 commits in 9 months
Contributions summary:Luca contributed significantly to the `fieldtrip` MATLAB toolbox, focusing on extending its functionality in the frequency domain for source reconstruction. They implemented and tested methods for frequency domain minimum norm estimation (MNE), residual variance (RV), and integrated the Harmony method. The user's work involved modifying and creating MATLAB scripts to handle cross-spectral density (CSD) and Fourier data, demonstrating expertise in neuroimaging data analysis and source localization techniques.
brainneurosciencetime-frequencyfieldtripieeg
LucaAmbrogioni/Brancher
Jul 2018 - Jun 2019
A python library for stochastic variational inference and differentiable probabilistic programming
Contributions:108 commits, 2 PRs, 75 pushes in 11 months
python-librarydifferentiablepythoninferencemachine-learning
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