Hi there! I'm Gianluca, a passionate Research Scientist involved in conquering cancer through AI
Nov 2024 - Present
Berlin, Germany
In the Model-Centric AI research team of the Oncology group, I have been:
- 🩻 Developing AI models to advance the suit of Lunit´s products and the SOTA in medical image analysis.
- 💻 Contributing to the internal research codebases with high-quality code and development standards.
- 🤝 Collaborating with research engineers and medical doctors for practical medical applications.
- 📰 Pushing Lunit's technological advancement and publishing in top-tier journals and conferences
Sep 2021 - Oct 2024
Pisa, Italy
In the Signals and Images Laboratory, I have:
- ⏫ Proposed bias-mitigation frameworks for robust DL image classification in out-of-distribution settings under domain shift. Based on causal inference, feature disentanglement, contrastive learning, and injection of prior knowledge. Applied to large RWD CXR datasets.
- 🔍 Investigated techniques to discover causal disposition signals in images via Attention-inspired CNNs for cancer prediction from medical imaging (prostate MRI and HE digital pathology).
- 🧠 Proposed biologically inspired context-aware image classifiers akin to human vision.
- 🤖 Experienced with DDPMs (generative AI) to synthesize MRI images of prostate cancer.
- 📚 Led a systematic literature review to study the intersection of causality and Explainable AI.
- 🤱 Explored the applicability of prototypical part learning in medical imaging by experimenting with ProtoPNet on a breast mass classification from mammogram images.
Apr - Jun 2023
Edinburgh, UK
At the VIOS Collaboratory led by Prof. Tsaftaris, I have:
- 🔭 Experimented with representation learning, causal reasoning in neural networks, and diffusion models.
↔️ Collaborated in international research groups- 🖥️ Group-coded with four other PhD students for a MICCAI 2023 challenge.
Pisa, Italy (Nov 2021 - Nov 2024)
Thesis: “Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration.”
Pisa, Italy (Oct 2018 - Jul 2021)
Thesis: “Study and development of advanced models integrating radiomic features and clinical data for outcome prediction in non-small cell lung cancer patients treated for brain metastases with stereotactic radiotherapy.”
Bologna, Italy (Sep 2015 - Oct 2018)
Thesis: “Development of a Graphical User Interface in MATLAB for the visualization and spectral analysis of EEG and ECG signals.”
When I’m not coding, I’m into photography, cooking, rock music,basketball, and exploring the outdoors. Here’s a peek at my stuff: