I am a PhD candidate in mathematics at the University of Minnesota, advised by Dr. Yulong Lu. In July, I will join UCLA as a Hedrick Math Fellow (postdoc). You can find my CV here.
My research interests lie in mathematics of machine learning and data science and their application to scientific computing; see my research page for additional details.
Email: cole0932 'at' umn 'dot' edu
Office: 322 Vincent Hall
Recent news:
March 2026: I will attend SIAM UQ2026 and present in the minisymposium "In-context learning for PDEs and inverse problems".
February 2026: Our paper "Flow Matching for Multimodal Distributions" has been accepted to CVPR 2026.
October 2025: I attended the SIAM-NNP sectional meeting and presented recent work on in-context learning of optimal transport maps.
September 2025: Our paper on in-context learning of linear dynamical systems has been accepted to NeurIPS 2025.
August 2025: I attended the Princeton Machine Learning Theory Summer School.