PhD in the Communications and Signal Processing (CSP) group at Imperial College London advised by Pier Luigi Dragotti and Seyed Mohsen Moosavi-Dezfooli. Before that, I briefly worked at Meta as a software engineer with the AI for AR and PyTorch teams. My research interests are broadly in the areas of computer vision and diffusion-based generative modeling.

I received the MEng degree in Electrical and Electronic Engineering from Imperial College in 2022. During that time, I specialized in signal processing and model-based deep learning. I was also fortunate to take part in several exciting projects:

• I collaborated with Arm to create EMILY, an end-to-end machine learning platform for deploying audio classifiers on embedded devices.
• I contributed to ISSIE, an open source digital electronics simulator which is used by undergraduate students.
• I interned for Christos-Savvas Bouganis, where I investigated the performance of object detection algorithms in real-time settings.
• I worked on WhatAMesh, a decentralized communication system based on radio mesh networks. The project was awarded second place in IC Hack 2020.

News

• [03/2025] One paper accepted at ICLR 2025 DeLTa Workshop.
• [10/2023] INDigo has been 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.