Lukas Arts
Postdoctoral Researcher at Amsterdam UMC Hartcentrum
Utrecht, Utrecht, Netherlands
Summary
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Senior🎓
Top SchoolLukas Arts is a postdoctoral researcher blending theoretical physics and computer science with nine years of experience building multimodal, clinically focused AI for cardiology. Currently completing a PhD in neuro-symbolic signal processing at Utrecht University and based at Amsterdam UMC, he develops large-scale, privacy-preserving foundation models and federated learning platforms that fuse ECG, MRI, ECHO, CT and EHR data across European clinical and industry partners. His work sits at the intersection of deep learning and symbolic reasoning to produce interpretable, safety-minded models aimed at predicting sudden cardiac death and improving cardiovascular risk assessment. Lukas has a track record of turning sensor- and physiology-driven problems into practical algorithms—from wearable biosensor studies for autism diagnostics to ECG processing for burnout research—highlighting an uncommon blend of domain knowledge and systems-level ML engineering.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Utrecht UniversityVWO, N&T, VWO, N&T at Melanchthon Schiebroek
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
transform10
mir10
matlab10
pitch10
cpp10
calculation10
mfcc10
spectrogram10
wavelet10
wavelet-transform10
signal-processing10
optimization10
digital-signal-processing10
design-patterns1
java1
Programming languages (1)
Github contributions (5)
fastlib/fCWT
Dec 2021 - Jan 2023
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Contributions:84 commits, 6 PRs, 37 pushes in 1 year 1 month
waveletwavelet-transformcppdigital-signal-processingmatlab
fastlib/INFOMQNM-Public
Apr 2024 - Jun 2024
Contributions:21 pushes, 3 branches in 1 month
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