About Me
I am a Research Scientist with a Ph.D. in Computer Science and a proven track record of developing state-of-the-art generative models and Geometric Deep Learning frameworks. Currently, I am conducting research on diffusion models and VAEs at Huawei R&D department, where I received the Outstanding Individual Contribution Award for technical excellence in autonomous driving innovations. My experience spans elite academic and industry R&D environments, including a current visiting position at the University of Cambridge supervised by Prof. Pietro Liò and a previous postdoctoral role at the Italian Institute of Technology (IIT).
Expert in applying Deep Learning to complex domains such as high-fidelity scene synthesis, predictive modeling, and molecular interaction modeling. I have contributed foundational research to premier AI venues like ICLR, ICCV, CVPR, and AAAI, focusing on innovations such as Sheaf Neural Networks and Spectral GCNs. Beyond research, I am an active member of the scientific community, serving as a peer reviewer for major conferences like NeurIPS and CVPR and supervising younger researchers through internship and Ph.D. mentorship.
Interests: Generative Models, Graph & Hypergraph Neural Networks, Computer Vision, Autonomous Driving, and Computational Chemistry.