Esther Rolf. Workshop on Machine Learning for Remote Sensing at ICLR, 2023.
I study statistical and geospatial machine learning. My research blends methodological and applied techniques to study and design machine learning algorithms and systems with an emphasis on usability, data-efficiency and fairness. My current research directions include developing algorithms and infrastructure for reliable environmental monitoring using machine learning, and understanding the multifaceted nature of representation in data and how that affects our ability to train fair and effective machine learning systems.
In fall of 2024 I’ll join CU Boulder as an assistant professor of computer science. See below for information on joining my lab at CU Boulder!
I’m currently a visiting professor at CU Boulder and a postdoctoral fellow at Harvard with the Harvard Data Science Initiative (HDSI) and Center for Research on Computation and Society (CRCS).