Ameya Prabhu is a Postdoctoral Researcher at the Bethge Lab, Tübingen AI Center, where he works on developing frontier benchmarks for foundation models with a broader focus on automated scientific discovery. He received his PhD in Artificial Intelligence from the University of Oxford in 2024, working on continual learning and robustness, including contributions such as GDumb and RanDumb. He previously held research roles at Intel Labs, Verisk, IBM, and WizCal, spanning topics from large-scale continual learning to neural architecture search and uncertainty estimation. Before Oxford, he completed a dual Bachelor’s and Master’s by Research in Computer Science at IIIT Hyderabad. His work has been published at NeurIPS, ICML, ICCV, EMNLP, and TMLR.