Summary
Alessio Quercia is a research-focused machine learning engineer with 10 years of experience and a PhD trajectory spanning RWTH Aachen and Sapienza, now working as a Research Associate at Forschungszentrum Jülich. He specializes in data-efficient learning, transfer learning, and multi-task learning, with applied experience building a hybrid unsupervised–supervised pipeline for epileptic seizure prediction during an IBM Research internship. Alessio blends strong academic rigor—top marks in both bachelor’s and master’s degrees—with hands-on mentoring and teaching experience from university tutoring roles. His work emphasizes practical ML pipelines that bridge theory and real-world biomedical signals, and he has a demonstrated record of turning research prototypes into publishable results. Based in Cologne, he brings a continental research network and a pragmatic focus on transferable learning methods that scale across tasks and domains.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 110/110, Master's degree, Computer Science, 110/110 at University of Milan
Bachelor's degree, Computer Science, 110/110, Bachelor's degree, Computer Science, 110/110 at Sapienza University of Rome
PhD Candidate, Computer Science, PhD Candidate, Computer Science at RWTH Aachen University
PhD Candidate, Computer Science, PhD Candidate, Computer Science at Sapienza Università di Roma
Italian, English, French, German