1. About
I am a PhD student in the School of Computer and Communication Sciences at EPFL, advised by Pascal Frossard in the Signal Processing Laboratory 4 (LTS4). My research focuses on model editing, multimodal learning, and the robustness and safety of modern vision and language models.:contentReference[oaicite:0]{index=0}:contentReference[oaicite:1]{index=1}
Before joining EPFL, I obtained my Bachelor of Engineering in Computer Science from the American University of Beirut (AUB), where I worked on deep learning for satellite imagery and spent a research internship at MIT’s MadryLab.:contentReference[oaicite:2]{index=2}
2. Research
Broadly, I am interested in reliable and efficient foundation models, with an emphasis on:
- Editing and adapting pre-trained models without full retraining.
- Vision–language modeling and multimodal representations.
- Robustness, safety, and evaluation of deep learning systems.:contentReference[oaicite:4]{index=4}
My recent work looks at semantic document derendering, weight arithmetic for model editing, and understanding how large models behave when deployed in education and other high-stakes applications.:contentReference[oaicite:5]{index=5}
3. Selected publications
* indicates equal contribution. For a complete and up-to-date list, see Google Scholar.:contentReference[oaicite:6]{index=6}
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Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling
AAAI Conference on Artificial Intelligence (AAAI), 2026 (to appear)
arXiv .:contentReference[oaicite:7]{index=7} -
Model Soups Need Only One Ingredient
ICLR 2026 (under review)
OpenReview .:contentReference[oaicite:8]{index=8}:contentReference[oaicite:9]{index=9} -
Task Addition and Weight Disentanglement in Closed-Vocabulary Models
Efficient Systems for Foundation Models II (ES-FoMo II), ICML 2024; extended version on arXiv, 2025
arXiv .:contentReference[oaicite:10]{index=10}:contentReference[oaicite:11]{index=11} -
Towards Modeling Learner Performance with Large Language Models
International Conference on Educational Data Mining (EDM), 2024
Code .:contentReference[oaicite:12]{index=12}:contentReference[oaicite:13]{index=13}
4. Teaching
EPFL
- Data Visualization (Teaching Assistant, Spring 2025, Spring 2024)
- Introductory Physics (Teaching Assistant, Fall 2024)
American University of Beirut (AUB)
- Introduction to Computation and Programming (Teaching Assistant, Spring 2021)
5. Honors & Awards
- EDIC Fellowship, EPFL – fellowship for first-year PhD students in computer and communication sciences.
- Dean’s Honor List, AUB – awarded every semester for high academic standing.
6. Curriculum Vitae
A concise academic CV is often useful for applications and collaborations. You can find my most recent CV here:
If you update the CV file name in your repository, remember to update this link as well.
7. Contact
The best way to reach me is by email:
Email:
Affiliation: Signal Processing Laboratory 4 (LTS4), EPFL, Lausanne, Switzerland
Links: Google Scholar · GitHub · LinkedIn · ORCID · LTS4
:contentReference[oaicite:16]{index=16}For privacy, I do not list a phone number here; please contact me by email for calls or meetings.