Presentations

Recovering Missing Data in Coherent Diffraction Imaging [Video]

Imaging and Applied Optics Congress, Optica, 2021.

Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network [Abstract] [Poster]

Imaging and Applied Optics Congress, Optica, 2021.

The Phase Retrieval Problem: Advances from Theory, Computation, and Design [Minisymposium Link]

SIAM Conference on Imaging Science, 2020.

New Algorithms for Phase Retrieval with Missing and Noisy Data [Abstract]

SIAM Conference on Imaging Science, 2020.

Low-Photon Holographic Phase Retrieval [Video]

Imaging and Applied Optics Congress, Optica, 2020.

Low-Photon Phase Retrieval [Slides]

Numerical Analysis Seminar, Flatiron Institute, 2020.

Holographic Phase Retrieval and Optimal Reference Design [Abstract]

Numerical Analysis Seminar, Flatiron Institute, 2019.

Thesis Defense [Slides]

Stanford University, 2019.

Holographic Phase Retrieval and Dual-Reference Design [Slides]

Stanford University, Department of Statistics, 2019.

Holographic Phase Retrieval and Optimal Reference Design [Slides]

Stanford University, Department of Statistics, 2018.

1D Phase Retrieval and Spectral Factorization [Abstract] [Slides]

Imaging and Applied Optics Congress, Optica, 2018.

On Block-Reference Coherent Diffraction Imaging [Abstract] [Slides]

Imaging and Applied Optics Congress, Optica, 2018.

A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval [Poster]

Stanford University, ICME Xpo, 2018.

Neural Information Processing Systems (NeurIPS), 2017.

A Matrix Algebra Approach to the Fourier Phase Retrieval Problem [Abstract]

Operators Algebras Seminar, Fields Institute, 2018.

The Phase Retrieval Problem: Theory and Algorithms [Abstract]

Operator Algebras Seminar, Fields Institute, 2017.

Recent Advances on the Phase Retrieval Problem [Abstract]

Operator Algebras Seminar, Fields Institute, 2016.

Functional Map Methods in Computational Geometry [Abstract]

Operator Algebras Seminar, Fields Institute, 2015.