Welcome to my website!

I'm Sweta, a research assistant at the Flensburg University of Applied Sciences, where I have the opportunity to work under the supervision of Prof. Dr. Marc Aubreville. I’m currently involved in the (mu)ROMI project, which focuses on Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory, and Multi-Scanner Mitosis Detection. You can also find me here, as part of the DeepMicroscopy group.

 My passion lies at the intersection of deep learning, mathematics, and pathology, with a focus on advancing AI-driven methods for medical image analysis. I am particularly interested in self-supervised learning, domain adaptation, and multi-modal approaches in histopathology, aiming to push the boundaries of how AI can enhance diagnostic accuracy and efficiency. I'm always eager to explore new ideas, collaborate on innovative research, and discuss exciting developments in these fields. If you share similar interests or have intriguing projects to discuss, I’d love to connect! 

Before this, I earned my MSc in Mathematics and Computing from Banaras Hindu University.