Born to a family of doctors, I was dubbed the black sheep, tinkering with computers and fascinated by anything technological. But, when you grow up in a household where medical jargon dominates conversations, a particular sentiment toward it develops. Progressing through my career, I have attempted to combine my passion for technology with my keen interest in medicine.

🔨 I'm currently working on,

• Agentic AI / VLMs for Radiation Therapy Planning

⏮️ Previously I've enjoyed working with,

• 🔬 Building and evaluating deep learning based biomarkers to help out in the clinic at AIM Harvard
• Representation learning methods for radiology, mostly contrastive learning
• 🔥 Contributing and developing a simplified framework to run deep learning models project-lighter/lighter
• Image synthesis (CBCT ▶️ CT) and segmentation (CT) techniques to improve radiotherapy at Maastro Clinic and ganslate-team
• 🛠️ Various Computer Vision-based functionality for a revolutionary customer assistance platform at Blinkin

• 🎓PhD in Biomedical Engineering at the GROW School of Oncology and Reproduction
• 🎓 Masters in Artificial Intelligence at the DKE specialized in Deep Learning and Computer Vision.

I find myself most comfortable with,