Biomedical AI Researcher & Engineer
Master's student in Biomedical Engineering (Bioinformatics) at Politecnico di Milano, specializing in Agentic AI for clinical oncology. Currently researching at Fondazione IRCCS Istituto Nazionale dei Tumori (AI-On-Lab), developing multidimensional evaluation frameworks for autonomous AI agents in NSCLC treatment planning — with a primary-author submission to ESMO Congress 2026.
My current focus at AI-On-Lab: building rigorous, multidimensional evaluation frameworks that determine when autonomous AI agents can be trusted in high-stakes cancer treatment decisions.
Primary-author submission to the European Society for Medical Oncology (ESMO) Congress 2026. A multidimensional evaluation framework for clinical AI agents supporting immunotherapy decision-making in advanced NSCLC.
See PublicationsA selection of research and engineering projects across medical imaging, neuroengineering, and clinical AI.
Master's thesis project: multi-tier evaluation framework to validate autonomous AI agents for NSCLC treatment planning. Combines LLM-as-judge, deterministic rule checks, and clinician feedback loops to ensure safety, accuracy, and alignment with clinical guidelines.
View on GitHubDeep learning pipeline to decode and classify perceived visual stimulus categories from human brain activation maps using fMRI data. Conducted ROI-based feature analysis and architectural exploration across CNN, RNN, and fully connected networks, with explainability techniques to evaluate voxel-level contributions.
View on GitHubDeep CNN pipeline for automated multi-class classification of 96x96 high-resolution white blood cell images, plus a semantic computer vision segmentation architecture for identifying structural features in planetary terrain images.
View on GitHubI'm open to PhD opportunities, research collaborations, and AI in healthcare roles. Let's connect.
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