Resume
Academic Achievements
- 1. Paper 'LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation' accepted as a poster at ICML 2025.
- 2. Paper 'Cycle consistent twin energy-based models for image-to-image translation' published in Elsevier's Medical Image Analysis journal.
Research Experience
- 1. Working at the Representation Learning Lab, IISc, under the supervision of Dr. Prathosh AP.
- 2. Interned at the Vision and Learning Lab, University of Alberta, with Dr. Li Cheng in the summer of 2023, working on building a multi-modal human motion dataset and exploring monocular SLAM for eye-tracking pose estimation.
Education
- Completed B.Tech. in Electrical Engineering from IIT Kharagpur in 2024.
Background
- Research interests include representation learning, robustness, interpretability, and multimodal intelligence. Currently a Project Associate I at the Department of Electrical Communication Engineering, IISc Bangalore, focusing on exploring the effectiveness of mechanistic interpretability methods like k-sparse autoencoders (kSAEs) for adding text-based and continuous 3D controls to text-to-image diffusion models.
Miscellany
- Broadly interested in problems at the intersection of representation learning, robustness, interpretability, and multimodal intelligence. Currently looking for research assistant positions or long-term internships at machine learning and visual computing research groups.