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Michael C. Frank is a Professor of Human Biology and the Director of the Symbolic Systems Program at Stanford University. His research focuses on children's language learning and the intricacies of early vocabulary development, utilizing a variety of methods including data-oriented approaches and computational models. He has played a significant role in projects like Wordbank and MetaLab, which aim to create large datasets for studying language learning in young children. Frank advocates for open science, reproducibility, and collaboration in research, and his work frequently addresses the variability and consistency of early language acquisition. He has published extensively in high-impact journals and has a strong interest in the intersection of language, cognition, and social understanding.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.