As an AI researcher at Shell, I apply AI and machine learning methods to optimize catalysts and accelerate the discovery of novel catalyst formulations. I work with a multidisciplinary team of scientists and engineers to develop and deploy scalable and robust solutions for various challenges in the chemicals and energy industry. I have expertise in deep learning, graph neural networks, computational chemistry, cheminformatics, materials informatics, and high performance computing.I have a PhD in Chemical Engineering from Georgia Institute of Technology, where I studied photocatalytic nitrogen fixation, neural network force fields, and helped in the development of a density functional theory (DFT) code. I also have a Bachelor of Engineering in Chemical Engineering from Auburn University. I have over 6 years of experience with Python programming and am well-versed in common deep learning frameworks such as PyTorch. I am passionate about applying my skills and knowledge to solve real-world problems and advance the field of catalysis.