# Maike Meier

DPhil Student in the Numerical Analysis group under supervision of Prof. Yuji Nakatsukasa.

University of Oxford

Andrew Wiles Building

Radcliffe Observatory Quarter

Woodstock Road

Oxford

OX2 6GG

M. Meier, Y. Nakatsukasa, A. Townsend, and M. Webb, * Are sketch-and-precondition least squares solvers numerically stable?*, SIAM J. Matrix Anal. Appl., 45(2), 2024.

M. Meier, and Y. Nakatsukasa. * Fast Randomized Numerical Rank Estimation for Numerically Low-Rank Matrices*., Linear Algebra Appl., 686, 2024.

M. Meier and Y. Nakatsukasa, * Randomized algorithms for Tikhonov regularization in linear least squares, *arXiv:2203.07329, 2022.

I work in Randomized Numerical Linear Algebra, where I try to leverage randomized techniques to improve the computations of large-scale NLA problems such as least-squares problems. I am also interested in preconditioning for least squares problems, stability analysis of iterative algorithms, and the intersection between high-dimensional statistics and randomized NLA.

Poster Prize Householder Symposium XXI on Numerical Linear Algebra (2022)

Oxford-Wang Graduate Scholarship (2020)

St Peter’s College New Horizon Prize in Mathematics (2020)

Oxford Mathematical Institute Athena Swan Bursary (2019)

University of Groningen GUF-100 award (2019)

C6.2 Continuous Optimisation - Tutor (HT 2022, 2023, 2024)

C6.2 Continuous Optimisation - Tutor for visiting students for Oriel College and Exeter College (HT 2023, 2024)

C6.1 Numerical Linear Algebra - Tutor (MT 2023)

ASO Mathematical Modelling in Biology - Tutor in St Peter's College (TT 2023)

ASO Graph Theory - Tutor in St Peter's College (TT 2023)

A7 Numerical Analysis - Tutor in St Peter's College (HT 2023)

Prelims M3 Probability - Tutor in St Peter's College (MT 2022)

Prelims M3 Probability - Tutor in Christ Church (MT 2021)

C6.3 Approximation of Functions - TA (MT 2020, MT 2021)

C6.2 Continuous Optimisation - TA (HT 2021)

C6.1 Numerical Linear Algebra - TA (MT 2020)