Daniel Rinder

Computer Science Master student

Daniel graduated from Washington University McKelvey School of Engineering with a B.S. in chemical engineering; He is also anticipated to graduate with M.Eng. in Computer science at WashU. He joined our group in the summer of 2022 and worked on predicting the catalytic activity of high-entropy alloys using density functional theory (DFT) calculations and machine learning methods.