2026 Rachel Ward: Computer Science Researcher – H-Index, Publications & Awards

Overview

Rachel Ward is affiliated with The University of Texas at Austin in the United States. Their research spans several areas within computer science and engineering, with a significant focus on artificial intelligence and computational mechanics.

The scientist has contributed extensively to diverse subfields, including:

Artificial Intelligence
Computational Mechanics
Biomedical Engineering
Statistics and Probability
Statistical and Nonlinear Physics

Key topics explored in their work cover:

Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Neural Networks and Applications
Model Reduction and Neural Networks
Ultrasound and Hyperthermia Applications
Random Matrices and Applications
Markov Chains and Monte Carlo Methods

Rachel Ward has published research in multiple venues, with a strong presence in:

arXiv (Cornell University)
Neuro-Oncology
SIAM Journal on Matrix Analysis and Applications
Zenodo (CERN European Organization for Nuclear Research)
Information and Inference A Journal of the IMA

Some recent publications include:

"Repeated blood-brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: a phase 1 trial" (2023, The Lancet Oncology)
"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone" (2024, arXiv (Cornell University))
"Ultrasound-mediated delivery of doxorubicin to the brain results in immune modulation and improved responses to PD-1 blockade in gliomas" (2024, Nature Communications)
"Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples" (2020, Multiscale Modeling and Simulation)
"Generalization bounds for sparse random feature expansions" (2022, Applied and Computational Harmonic Analysis)

Frequent collaborators in their research include:

Adam M. Sonabend
Michael Canney
Roger Stupp
Cristal Gomez
Christina Amidei

Best Publications

Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Deanna Needell;Rachel Ward;Nati Srebro

459
Citations
New and Improved Johnson–Lindenstrauss Embeddings via the Restricted Isometry Property

Felix Krahmer;Rachel A Ward

330
Citations
Stable Image Reconstruction Using Total Variation Minimization

Deanna Needell;Rachel A Ward

269
Citations
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization

Massimo Fornasier;Holger Rauhut;Rachel Ward

266
Citations
Sparse Legendre expansions via l 1 -minimization

Holger Rauhut;Rachel Ward

244
Citations
One-Bit Compressive Sensing With Norm Estimation

Karin Knudson;Rayan Saab;Rachel Ward

196
Citations
Stable and Robust Sampling Strategies for Compressive Imaging

Felix Krahmer;Rachel Ward

194
Citations
Exact Recovery of Chaotic Systems from Highly Corrupted Data

Giang Tran;Rachel Ward

179
Citations
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes

Rachel Ward;Xiaoxia Wu;Leon Bottou

179
Citations
Compressed Sensing With Cross Validation

R. Ward

176
Citations
Interpolation via weighted ℓ1 minimization

Holger Rauhut;Rachel A Ward

169
Citations
Extracting Sparse High-Dimensional Dynamics from Limited Data

Hayden Schaeffer;Giang Tran;Rachel Ward

159
Citations
Coherent Matrix Completion

Yudong Chen;Srinadh Bhojanapalli;Sujay Sanghavi;Rachel Ward

139
Citations
Coherent Matrix Completion

Srinadh Bhojanapalli;Yudong Chen;Sujay Sanghavi;Rachel Ward

135
Citations
Relax, No Need to Round: Integrality of Clustering Formulations

Pranjal Awasthi;Afonso S. Bandeira;Moses Charikar;Ravishankar Krishnaswamy

124
Citations
Sparse recovery for spherical harmonic expansions

Holger Rauhut;Rachel Ward

122
Citations
Clustering subgaussian mixtures by semidefinite programming

Dustin G. Mixon;Soledad Villar;Rachel Ward

96
Citations
Near-Optimal Compressed Sensing Guarantees for Total Variation Minimization

Deanna Needell;Rachel Ward

90
Citations
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Deanna Needell;Nathan Srebro;Rachel Ward

62
Citations
Interpolation via weighted $l_1$ minimization

Holger Rauhut;Rachel Ward

26
Citations