Stephen Mussmann (somussmann@gmail.com) is an IFDS postdoc (started September 2021) at the University of Washington working with Ludwig Schmidt and Kevin Jamieson. Steve received his Ph.D. in Computer Science from Stanford University, advised by Percy Liang.
Steve researches data selection for machine learning; including work in fields such as sub areas such as active learning, adaptive data collection, and data subset selection. During his Ph.D., Steve primarily focused on active learning: how to effectively select maximally informative data to collect or annotate. During his postdoc, Steve has worked on data pruning: choosing a small subset of a dataset such that models trained on that subset enjoy the same performance as models trained on the full dataset.
Steve is applying for academic research jobs this year (2022-2023)!