杰米黑线鳕
杰米黑线鳕, 博士学位, Assistant Professor of 数学, specializes in mathematical data science, 优化, and applied convex geometry. Haddock earned her Ph.D. in Applied 数学 from the University of California, Davis. Before joining the faculty at Harvey Mudd, she held a CAM postdoctoral position in the 数学 department at UCLA.
Haddock is passionate about leveraging mathematical tools, such as those from probability, 组合, 以及凸几何, 为了理解数据, and the models and methods used to analyze it. Her recent areas of focus include randomized numerical linear algebra, combinatorial methods for convex 优化, tensor decomposition for topic modeling, network consensus and ranking problems, and community detection on graphs and hypergraphs. Her recent work is supported by NSF grant “Tensor Models, 方法, and Medicine” and includes collaborations with experts outside mathematics and outside academia.
Haddock especially enjoys mentoring undergraduate research in these topics and developing curriculum for introducing the mathematics of data science to students. Her teaching philosophy and outlook on the mathematics community are largely influenced by Federico Ardila’s axioms. One of the main goals of her career is to increase for groups that have been historically excluded from research mathematics access to, and representation in, 这个社区.