Presenter

Saikarthik is a PhD student in Computer Engineering at the University of Texas, specializing in Graph Machine Learning, High-Performance Computing (HPC), and constrained optimization. My expertise spans statistical modeling, scientific deep learning, and computational methods, with hands-on experience in Python-based data science tools, Graph Neural Networks (GNNs), and scientific computing applications.
Currently, I am working on multimodal data integration and HPC-driven optimization as part of a Department of Energy (DOE) research project with my advisor, focusing on scalable computational solutions for large-scale scientific computing challenges. My research aims to advance scientific computing, high-dimensional data analysis, and constrained optimization techniques using HPC and deep learning. With a collaborative mindset and a passion for innovation, I strive to integrate theoretical insights with practical solutions to drive advancements in scientific machine learning and computational engineering.