Open to
- Internships / thesis work: Deep Learning, graph ML, bioinformatics, Data Analysis, Machine Learning Security.
- Collaboration: research prototypes and open-source projects.
Lorenzo Marinelli
Computer Science @ Sapienza University · Italy
I build practical solutions for Graph ML.
Now
Studying for the next exam session and polishing a few personal projects.
Highlights
- Applied AI: building and testing ML systems across vision, graphs, time series, reinforcement learning, and language-model-guided workflows.
- Data & scientific computing: turning domain problems and messy datasets into reproducible analyses, visual summaries, and documented experiments.
- Research practice: connecting coursework, thesis work, and personal projects through readable notes, demos, and practical evaluation.