About Me

I am a Pre-Doctoral Machine Learning Researcher at Google DeepMind (GDM), where I work under the guidance of Dr. Rishi Saket. My research centers on developing algorithms for learning from aggregate data, and studying associated learning theory and optimization challenges. Prior to this, I interned at the Vector Institute, supervised by Prof. Rahul Krishnan. We developed hybrid methods for learning predictive checklists which integrate combinatorial solvers with deep learning.

I’m broadly interested in Learning Theory, Optimization, and Causal ML. My research is driven by real-world applications, focusing on decision-making and differential privacy. My ultimate goal is to design provable algorithms that gap between theoretical frameworks and practical deployment of learning algorithms.