Jeremiah Dosu
Research Volunteer at CardiacSSM Project
Electrical and Computer Engineering at Carnegie Mellon University, Africa
Rwanda
Hi, I'm Jeremiah Dosu!
Research Volunteer at CardiacSSM Project
Data and Machine Learning researcher with strong expertise in time-series analysis, signal processing, and predictive modeling, with growing specialization in cardiovascular data systems (PCG/ECG). Experienced in developing end-to-end data pipelines and applying self-supervised learning techniques to address data scarcity in real-world datasets. Proven ability to combine statistical rigor with domain knowledge to build interpretable and scalable analytical solutions.
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Experience
CardiacSSM Project
Research Volunteer
February 2026 - Present
Conducting exploratory research on self-supervised learning (SSL) approaches for phonocardiogram (PCG) data to address data scarcity
Studying and analyzing the CirCor DigiScope Phonocardiogram Dataset to understand data structure, annotation quality, and clinical features
Building theoretical foundations in contrastive audio-text representation learning for aligning heart sounds with clinical descriptions
Investigating multi-frequency characteristics (10–700 Hz) of heart sound signals to inform feature extraction strategies
Reviewing and synthesizing recent literature on SSL in biomedical signal processing to guide model design decisions
Collaborating in a research-driven environment focused on model generalization, physiological validity, and data-efficient learning
Education
Data Analytics
Carnegie Mellon University Africa
Graduated in 2026
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