Summary
Andrea Ferlini is a Senior Algorithm Scientist with a decade of experience translating mobile sensing research into production wearable products, currently driving algorithm development for earable health monitoring. With a PhD from the University of Cambridge and a history at Nokia Bell Labs, he built and deployed memory-optimized multimodal on-device pipelines (PPG, audio, IMU) that power continuous cardiovascular and respiratory monitoring in commercial OmniBuds units used across universities worldwide. He combines hands-on firmware C implementations with Python research prototypes, human data collection, IP generation and team mentorship, bridging academic rigor and productization. His background in connected vehicles and networking research, plus entrepreneurial stints and international training (UCLA, Sorbonne, Trento), gives him a rare cross-domain perspective on sensing, embedded systems and real-world deployment.
10 years of coding experience
6 years of employment as a software developer
Master's degree EIT Digital - Internet Technology and Architecture MSc., Master's degree EIT Digital - Internet Technology and Architecture MSc. at Università di Trento
Virginia Tech KnowledgeWorks Startup Competition, Virginia Tech KnowledgeWorks Startup Competition at Virginia Tech
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Cambridge
University of California, Los Angeles
Master's degree EIT Digital - Internet Technology and Architecture MSc., Master's degree EIT Digital - Internet Technology and Architecture MSc. at Sorbonne University
Italian, English, French, Spanish