Abby Garlock

Abby Garlock is an Instructor of Nursing at Gardner-Webb University, with extensive teaching experience across multiple prestigious institutions including Stanford University, University of Vienna, University of Geneva, ETH Zurich, and MIPT. Her expertise spans numerical analysis, tensor methods, and computational approaches to partial differential equations.

• University of Vienna (2022): Taught Tensor Methods for Data Science and Scientific Computing, and Numerische Mathematik.
• Stanford University (2018-2019): Instructed courses in Linear Algebra, Real Analysis, and Ordinary Differential Equations; advised Jason Zhu's project on low-rank tensor decompositions.
• University of Geneva (2016-2017): Served as Teaching Assistant for Numerical Analysis and Optimization courses.
• ETH Zurich (2011-2015): Taught and assisted in advanced numerical analysis, tensor networks, and computational finance.

Research Focus: Abby's work centers on high-dimensional numerical methods, tensor decompositions, and their applications in data science and PDE solutions. Her teaching aligns with computational mathematics and interdisciplinary scientific computing.