Christian Bianchi
Researcher in Adaptive & Multimodal AI
I am an M.Sc. student in Computer Science at Sapienza University of Rome and an R&D Scientist at ItalAI, working on adaptive and multimodal artificial intelligence. My research investigates how learning systems can adapt and recombine previously acquired capabilities as tasks, environments, and interaction dynamics change.
B.Sc. in Applied C.S. and AI
2021 - 2024
M.Sc. in Computer Science
2025 - 2027
Experience
Sep 2026 - May 2027
Incoming Erasmus+ Researcher
Jun 2025 - Present
R&D Scientist
Apr 2024 - Present
Research collaborator
Dec 2024 - Mar 2025
Research collaborator
F1 Consulting Services
Mar 2025 - Jun 2025
Generative AI Engineer
HCL Software
May 2022 - Mar 2025
Software Engineer II
Current interests
Studying how multimodal policies can specialize to new tasks and environments without repeated full-model retraining.
Exploring whether independently learned capabilities can be recombined directly in parameter space.
Analyzing failure modes and evaluation protocols for multimodal systems under distribution shift.
Investigating adaptation, grounding, and control in embodied agents that integrate vision, language, and demonstration signals.
Milestones
2026
Selected Participant
2025
Oral Presenter
2024
Applied Computer Science and Artificial Intelligence
It enables long-horizon manipulation by composing reusable skill-level adaptations and dynamically activating the appropriate adapters during execution.
It formulates robotic adaptation as parameter prediction, mapping multimodal task evidence directly to task-specific LoRA updates for a frozen VLA policy without target-task action labels or test-time optimization.
It leverages Stable Diffusion priors while dynamically injecting quaternion wavelet embeddings at different denoising stages to improve structural fidelity and perceptual quality.
