Biography
I am a PhD student at MIT advised by Prof. Marzyeh Ghassemi. I obtained my BS from Cornell University. After that, I was an MS student at KAUST, where I conducted research in computer vision under the guidance of Prof. Bernard Ghanem. I also closely collaborate with Dr. Adel Bibi and Prof. Philip Torr from Oxford.
My research aims to make deep learning models more deployable, with a focus on adaptation and evaluation under distribution shifts. My work spans different data modalities and has been applied to tackle problems in medical imaging, chemistry, and industrial optimization.
Some of my research has been spotlighted by MIT CSAIL (link to blogpost and video).
Download my CV.
Visit my google scholar profile.
- Vision-Language Learning
- Large-Scale Evaluation Benchmarks
- Learning from Synthetic Data
- ML for Healthcare
PhD in Electrical Engineering and Computer Science (EECS), 2023-Present
MIT
MS in Computer Science, 2021-2023
KAUST
BS in Electrical and Computer Engineering, 2021
Cornell University
Publications
Research Experience
Projects include:
- Tackling Negation Understanding in Vision-Language Models
- Addressing Demographic and Temporal Shifts through Federated Continual Learning
Projects include:
- Video Continual Learning
- Generalization and Transferability of Molecular Graph Representations
- Domain Generalization and Adversarial Robustness
Projects include:
- Quantum Computing for Industrial Scheduling Optimization
- Deep Generative Modeling for Automatic Molecular Design and Drug Discovery
Awards and Fellowships
