Aretha Teckentrup
Aretha Leonore Teckentrup is a UK-based mathematician, known for her research on uncertainty quantification and numerical analysis. Her work focuses on multilevel Monte Carlo methods for the numerical solution of partial differential equations, Gaussian processes and Bayesian inference.[1] She is a reader in the mathematics of data science at the University of Edinburgh.[2]
Education and career
Teckentrup was a student in mathematics at the University of Bath beginning in 2005. She earned a master's degree there in 2009, and completed her PhD in 2013.[2] Her dissertation, Multilevel Monte Carlo methods and Uncertainty Quantification, was supervised by Robert Scheichl.[3]
After postdoctoral research with Max Gunzburger at Florida State University from 2013 to 2014 and with Andrew M. Stuart at the University of Warwick from 2014 to 2016, she became a lecturer at the University of Edinburgh in 2016.[2]
Recognition
Teckentrup was a second-place winner of the Leslie Fox Prize for Numerical Analysis in 2017.[4] In 2018 she became the inaugural winner of the SIAG/Uncertainty Quantification Early Career Prize of the Society for Industrial and Applied Mathematics Activity Group on Uncertainty Quantification.[5] She was one of the 2021 winners of the Whitehead Prize of the London Mathematical Society.[1]
References
- Whitehead Prize: citation for Aretha Teckentrup (PDF), London Mathematical Society, retrieved 2022-02-05
- Curriculum vitae (PDF), January 2022, retrieved 2022-02-05
- Aretha Teckentrup at the Mathematics Genealogy Project
- 18th IMA Leslie Fox Prize in Numerical Analysis, June 26th, 2017, University of Oxford, retrieved 2022-02-05
- "SIAG/Uncertainty Quantification Early Career Prize", Prizes, awards and lectures sponsored by SIAM, Society for Industrial and Applied Mathematics, retrieved 2022-02-05
External links
- Home page
- Aretha Teckentrup publications indexed by Google Scholar