Rima Alaifari

I am an Assistant Professor for Applied Mathematics at ETH Zürich. I mainly work in the fields of applied analysis, inverse problems and scientific machine learning. My research interests include stability analysis and regularization of inverse problems, applied harmonic analysis, phase retrieval and stability aspects of machine learning, including operator learning. I am an associated member of the ETH AI Center. Here is a short video portrait of me.

Both of our NeurIPS 2023 submissions have been accepted! Check out our ReNO paper and our CNO paper!

I have a few projects for Master’s theses related to deep learning. If you are a student in CSE or math and would be interested in a computational project, please contact me!

My talk on Representation equivalent Neural Operators given at the Mathematical and Scientific Machine Learning at ICERM in June 2023 is now online.

Dr. Francesca Bartolucci, former postdoctoral researcher in my group, is now tenure-track assistant professor at TU Delft! Congratulations, Francesca!

My talk at the Women in Data Science Zürich Conference is now online.

I will be giving a plenary talk at the 8th International Conference on Computational Harmonic Analysis in September 2022.

Congratulations to Matthias Wellershoff for successfully defending his PhD thesis in March 2022!

I am organising a mini-symposium on “Advances in phase retrieval” at Curves and Surfaces 2022.

Dr. Jesse Railo, a postdoctoral researcher in my group, has won the Finnish Inverse Prize for his dissertation. Congratulations!

My talk in the One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar is now available here.

Student thesis projects available, especially for CSE students on MSc level. Send me an email if you are interested!

My SNF funded project on “Mathematical analysis of the phase retrieval problem” has launched in October 2019.

Since 10/2016 – Assistant Professor for Applied Mathematics at ETH Zürich

01/2016-09/2016 – ETH Postdoctoral Fellow (cofunded through FP7 Marie Curie Actions)

2014-2016 – D-MATH Postdoctoral Fellow at ETH Zürich

2012–2014 – Ph.D. fellow of the Research Foundation Flanders (FWO)

2010–2014 – Ph.D. in Mathematics under the supervision of Prof. Ingrid Daubechies and Prof. Michel Defrise, Vrije Universiteit Brussel
Ph.D. thesis on “Analysis of the truncated Hilbert transform arising in limited data computerized tomography”

2005–2010 – Bachelor and Master of Science in Applied and Industrial Mathematics, Johannes Kepler University, Linz

2023 Fall – Time-frequency analysis

2023 Spring – Inverse Problems

2022 Fall – Robustness of Deep Neural Networks

2021 Spring – Time-frequency analysis

2020 Fall – Seminar on Robustness of Deep Neural Networks (Here is a Refresh Teaching Talk I gave at ETH on this course format.)

2018 Fall – Numerical Methods for Computational Science and Engineering

2017 Fall – Numerical Methods for Computational Science and Engineering

2016 Fall – Seminar in Applied Harmonic Analysis: Frame Theory and Phase Retrieval

2016 Spring – Inverse Problems, Lecture Notes

2015 Fall – Mathematics of Computerized Tomography

2013 Fall – Calculus II

2012 Spring – Mathematical Methods of Physics