Biography
I joined MIT in September 2023 as a PhD student in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Jameel Clinic. Prior to this, 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.
I am deeply passionate about leveraging robust machine learning algorithms to address real-world challenges, particularly those associated with learning from images and videos under distribution shifts. Part of my work at MIT, where I am working alongside Prof. Marzyeh Ghassemi, involves applying these powerful tools to tackle healthcare challenges arising from diverse patient populations and evolving distributions.
Some of my research has been recently spotlighted by CSAIL (link to blogpost and video).
Download my CV.
Visit my google scholar profile.
- Reliable Deep Learning
- Computer Vision
- Multimodal Machine Learning
- ML for Healthcare
PhD in Electrical Engineering and Computer Science, 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
