Summary
Filippo Grazioli is a Senior AI/ML Engineer specializing in biomedical AI at GSK, with nine years of experience bridging computer vision, graph neural networks, and multimodal learning for science and autonomy. He has moved from embedded perception and driver-monitoring research to applied ML for precision immuno-oncology, protein binding prediction, and therapeutic vaccine optimization, demonstrating a rare cross-domain fluency between automotive perception and biomedical AI. At Cruise he delivered 3D object detection and sensor fusion solutions for autonomous vehicles, and at NEC Labs he combined Transformers, GNNs and knowledge-graph embeddings for drug discovery and disease prediction. Based in Heidelberg, he brings a pragmatic engineering mindset—rooted in C++ embedded systems and advanced deep learning—to productionize cutting-edge research. Notably, his background includes experimental work on vehicle-generated turbulence and depth-from-RGB GANs, reflecting a long-standing curiosity for physics-informed and multimodal approaches.
9 years of coding experience
9 years of employment as a software developer
Ph.D (Not completed) Deep learning computer vision, Ph.D (Not completed) Deep learning computer vision at Università degli Studi di Modena e Reggio Emilia
Erasmus+ EU Exchange Program during my M.Sc., Erasmus+ EU Exchange Program during my M.Sc. at RWTH Aachen University
B.Sc. in Mechanical Engineering, B.Sc. in Mechanical Engineering at University of Ferrara
M.Sc. in Automotive Engineering, M.Sc. in Automotive Engineering at Politecnico di Torino
Italian, German, English, Spanish