PhD in the Communications and Signal Processing (CSP) group at Imperial College London under the supervision of 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

• [10/2023] Our paper, INDigo, has been awarded Best Paper at IEEE MMSP 2023!
• [09/2023] I joined Imperial College London as a PhD student (full scholarship).
• [07/2023] One paper accepted at IEEE MMSP 2023.
• [11/2022] I joined Meta as a software engineer.
• [08/2022] I graduated from Imperial College London with First Class Honours!