I am a PhD student at IDEAS Lab. My research interests are to work on optimization of AI models, the integration of reliable AI methods into computer graphics, robotics and computer vision applications to accelerate their performance. Broadly put, I want to answer two important research questions – “How can we make AI more explainable and trustworthy?” and “How can we apply AI to solve problems that are difficult to solve using conventional methods?”
I am currently exploring the applications of Physics informed Machine Learning techniques for realistic motion synthesis.
I have done multi-disciplinary research projects with various research groups. More recently I have worked on fairness analysis of Large pretrained Language Models at Purdue University, as part of my Master’s research. I have also worked at ResconAI to design Neural Operator based architectures to solve Partial Differential Equations.