Researcher, Stanford University
Amelia Hardy is a master’s student in computer science at Stanford University, affiliated with the Stanford Intelligent Systems Laboratory (SISL), Center for Research in Foundation Models (CRFM), and the Stanford Natural Language Processing (NLP) group. Her work on benchmarking has been featured as a spotlight at NeurIPS and covered in MIT Technology Review. Previously, Amelia worked as a machine learning engineer at Woebot Health.