PhD in the Communications and Signal Processing (CSP) group at Imperial College London advised by Pier Luigi Dragotti and Seyed Mohsen Moosavi-Dezfooli. My research interests are broadly in the areas of machine learning and diffusion-based generative modeling.

I briefly worked at Meta as software engineer with the AI for AR and PyTorch teams. Before that, I received the MEng degree in Electrical and Electronic Engineering from Imperial in 2022. During that time, I specialized in signal processing and model-based deep learning.

News

• [11/2025] Happy to serve as a reviewer for CVPR 2026.
• [11/2025] D&D is accepted at MedEurIPS 2025.
• [09/2025] Happy to serve as a reviewer for ICLR 2026.
• [09/2025] Tracing the Roots is accepted at NeurIPS 2025 (scholar award).
• [08/2025] Fake & Square is accepted at ICCV 2025 LIMIT Workshop.
• [08/2025] Happy to serve on the AAAI 2026 Program Committee.
• [05/2025] SynBY is accepted at CVPR 2025 VisCon Workshop.
• [03/2025] Trustworthy SR is accepted at ICLR 2025 DeLTa Workshop.
• [10/2023] INDigo is awarded Best Paper at IEEE MMSP 2023.
• [09/2023] Started a PhD at Imperial College London (full scholarship).
• [11/2022] Joined Meta as a software engineer.
• [08/2022] Graduated from Imperial College London with First Class Honours.