Ayush is a bioinformatics researcher and computer scientist currently studying Computer Science at Stanford University. He worked at UCSB's Vision Research Lab and UIowa's Health, Brain, and Cognition Lab on ML and computer vision techniques in neuroscience, including using GANs, ViTs, UNets, and statistical regression. Currently, he is performing research at Stanford's Systems Hematology Lab, focusing on scRNA-seq analysis of hematopoietic stem cells to better understand cancer relapse. In his projects, Ayush is passionate about applying AI to difficult problems in science and engineering.
Divij is a passionate engineer and AI researcher studying Electrical Engineering & Computer Sciences at UC Berkeley. He has also conducted research at UC Santa Cruz's IR & Knowledge Management Lab, co-authoring RAGUARD, a large-scale fact-checking benchmark accepted to NeurIPS 2025 and presented as a published poster. Across research and competitions, Divij has focused on building deployable AI systems that are technically rigorous and practical.