Summary
Alba Porxas is a research scientist in digital health with nine years of experience applying data analysis, signal processing, and machine learning to complex biomedical problems. She has worked across academia and industry—from McGill and Georgia Tech to Parc Taulí and Adhera Health—focusing on multimodal neuroimaging, physiological signals (heart rate, respiration), psychometrics, and ICU datasets. Holding a PhD in Biomedical Engineering, Alba bridges rigorous research methods with product-oriented digital health initiatives, translating noisy biosignals into actionable insights. Her background in telecommunications engineering and a stint in field service engineering give her an uncommon blend of hardware-aware signal expertise and practical deployment experience. Colleagues describe her as a data-driven problem solver who thrives at the intersection of research, clinical data, and machine learning.
9 years of coding experience
7 years of employment as a software developer
Final Year Thesis - Broadband Wireless Networking Lab, Final Year Thesis - Broadband Wireless Networking Lab at Georgia Institute of Technology
UPC Universitat Politècnica de Catalunya
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at McGill University
English, Catalan, Spanish, Greek