Dr. Rakesh Suthar is a Postdoctoral Research Fellow at the Rochester Institute of Technology (RIT), where he develops data-driven methods and Bayesian optimization to design stable, high-efficiency perovskite and organic solar cells. His research combines experimental device fabrication with machine learning to accelerate the discovery of next-generation photovoltaic materials. 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.