Dr. Rakesh Suthar is a postdoctoral researcher at the Rochester Institute of Technology (RIT), specializing in large-language models (LLMs) and material discovery for metal-halide perovskite semiconductors. His current research focuses on analyzing a large dataset of perovskite publications to correlate device performance with material compositions, aiming to predict optimal compositions for higher power conversion efficiency in solar cells. Prior to RIT, Rakesh worked as a research associate at the Indian Institute of Technology Delhi (IIT Delhi), where he completed his Ph.D. His research there emphasized the device physics of next-generation organic-inorganic optoelectronic devices, combining experimental techniques with machine learning approaches to develop efficient organic solar cells and photodetectors. With over 20 publications in international journals, he is dedicated to advancing sustainable energy technologies and engaging with the public and policymakers on trends in materials science.