Scholar
Jamie Haddock
Google Scholar ID: ONLOj-oAAAAJ
Assistant Professor, Harvey Mudd College
Citations & Impact
Citations
474
H-index
12
i10-index
15
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Our paper 'Block Gauss-Seidel methods for t-product tensor regression' was accepted to the journal Numerical Algorithms; our paper 'Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators' was accepted to the journal BIT Numerical Mathematics; we submitted our paper 'Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems'.
Research Experience
- I am currently an Assistant Professor at Harvey Mudd College. My research is supported by NSF CAREER #2440040 and has been supported by NSF DMS #2211318.
Education
- I received my PhD in the Graduate Group in Applied Mathematics at the University of California, Davis, where I was fortunate to be advised by Professor Jesús A. De Loera, and then was a CAM Assistant Professor (post-doc) in the University of California, Los Angeles (UCLA) Mathematics Department, where my exceptional postdoctoral mentor was Professor Deanna Needell.
Background
- I am the Iris & Howard Critchell Assistant Professor in the Mathematics Department at Harvey Mudd College. My research focuses on mathematical data science, optimization, and applied convex geometry. I leverage mathematical tools, such as those from probability, combinatorics, and convex geometry, on problems in data science and optimization. Areas in which I have been active recently include randomized numerical linear algebra, combinatorial methods for convex optimization, tensor decomposition for topic modeling, network consensus and ranking problems, and community detection on graphs and hypergraphs.
