We are thrilled to announce that CS PhD student Xuefeng Du has been named a Jane Street Fellow for the 2023-24 academic year.
Xuefeng Du is advised by Professor Sharon Yixuan Li, and his research focuses on open-world machine learning. He is developing algorithms to enable open-world learning that can function safely and adaptively in the presence of evolving and unpredictable data streams. He says, “My research focus is trustworthy machine learning, with a special focus on developing empirical algorithms and theoretical understandings for inference and learning with out-of-distribution data. I am also interested in applications such as neural architecture search, graph mining, and high-level recognition models, such as object detection and segmentation.”
The Jane Street Fellowship is highly competitive and only six fellows chosen. According to Jane Street, “Though this is the first year of this program, we were blown away by the caliber of the applications we received. These six remarkable students were chosen from an incredibly talented and promising pool of applicants, and their impressive research spans varying disciplines. We are grateful to have the opportunity to support their work, and very much look forward to watching their academic careers unfold.”
The fellowship supports exceptional doctoral students currently pursuing a PhD in mathematics, computer science, or statistics. They are “excited to support PhD students who share our values: technical excellence, intellectual curiosity, and humility.”
Congratulations, Xuefeng Du!