Parvaneh Janbakhshi is a Senior Data Scientist based in Berlin with five years of experience applying AI, machine learning, and signal processing to clinical problems. With a PhD from EPFL and a background in biomedical engineering, she has driven projects across ECG biomarker extraction, adverse event detection from text, MRI contrast enhancement, and vocal and respiratory biomarker research for Parkinson’s and sleep apnea. She blends academic rigor from Idiap and EPFL with industry impact at Bayer, translating novel signal-processing methods into healthcare-ready solutions. Known for cross-modal work spanning audio, image, and physiological signals, she excels at extracting clinically actionable features from noisy biosignals. Her profile reflects a rare combination of deep research experience and hands-on production deployments in medical AI.
5 years of coding experience
7 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at EPFL (École polytechnique fédérale de Lausanne)
Master’s Degree, Biomedical Engineering (biolectrics), Master’s Degree, Biomedical Engineering (biolectrics) at Sharif University of Technology
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