Arnav Brahmasandra is a Pre-Doctoral researcher interested in how machine learning and physical theory can be combined to better understand complex molecular systems. His work focuses on physics-grounded AI for molecular simulation, emphasizing reproducibility and scientific software design. He currently also works as a Software Engineer at Narada AI. Outside of research, he enjoys playing tennis, hiking, occasionally playing the piano, and exploring new coffee shops.
B.S. in Computer Science, B.A. in Statistics, 2025
University of Chicago