I am a Postdoctoral Fellow in Wu Tsai Neuroscience Institute at Yale University. I am associated with Brain Function Laboratory at Yale School of Medicine and Krishnaswamy Lab at the Yale Computer Science Department. My research lies at the crossroads of machine learning, signal processing, and computational neuroscience, with a focus on developing principled methods to analyze and model complex structured data. I am particularly motivated by problems where data inherently resides on irregular domains, exhibits intricate relationships, or necessitates robust and adaptive decision-making frameworks. My work spans four interconnected areas: graph signal processing and representation learning, probabilistic graphical models and optimal transport, distributional reinforcement learning, and applications in neuroscience.

I received my PhD in Machine Learning from Georgia Institute of Technology where I was advised by Prof. Yongxin Chen. During my PhD, I worked on various topics including Probabilistic Graphical Models, Graph Neural Networks, Reinforcement Learning, and Graph Signal Processing. I got my Masters degree in Electrical Engineering from Iowa State University. Prior to that, I was a Research Associate at the Indian Institute of Space Science and Technology where I worked with Prof. B. S. Manoj on Complex Networks and Graph Signal Processing. Long ago, I received my B. Tech. degree from KIIT University, Bhubaneswar, India.