Group
Students, postdocs, and alumni
Five PhD students as main advisor, five co-advised, eight master's students, three undergraduates, and two postdoctoral researchers to date.
Current students & postdocs
Postdocs
- Jaiqi Yang: 2026– Peter O’Donnel Postdoctoral Fellow
PhD students
- Eric Zou: 2026 –, Computational Science, Engineering, and Mathematics (CSEM)
- Zeyu Chang: 2026 –, Biomedical Engineering
- Victor Kaplan: 2026 – Computational Science, Engineering, and Mathematics (CSEM)
- Blake Evans: 2026 – Ph.D. canditate in Biomedical Engineering (main advisor: Dr. Ed Castillo)
Ms student
- Radhika Bhandari: 2026 – MS. student in Engineering Mechanics
Alumni
Past postdocs:
- Tao Hong: 2025 – 2026. Now at Boston Children’s Hospital
PhD students advised:
- Evan Scope Crafts: 2026, Ph.D. in Computational Science, Engineering, and Mathematics (CSEM) at UT Austin: Data-Driven Optimal Experimental Design and Uncertainty Quantification with Applications in Computational Imaging
- Luke Lozenski: 2025, Ph.D. in System Science and Mathematics at WashU: AI-assisted Model-guided Image Reconstruction Methods for Photoacoustic and Ultrasound Computed Tomography. Now postdoctoral researcher at DTU Compute
PhD students co-advised:
- Kevin Huang: 2026, Ph.D. in Bioengineering at UIUC: Advance Image Reconstruction in Transcranial Photoacoustic Computed Tomography (main advisor: Dr. Anastasio)
- Refik Cam: 2026, Ph.D. in Electrical and Computer Engineering at UIUC: Dynamic Imaging using Photoacoustic Tomography (main advisor: Dr. Anastasio)
- Gangwon Jeong: 2025, Ph.D. Bioengineering at UIUC: Accurate Breast Imaging in Photoacoustic Computed Tomography Enabled by Acoustic Property Estimation in Heterogeneous Media(main advisor: Dr. Anastasio)
- Fu Li: 2024, Ph.D. in Bioengineering at UIUC: Three-dimensional image reconstruction in breast ultrasound computed tomography (main advisor: Dr. Anastasio). Now Software Engineer at Pony AI
MS students advised:
- Jenil Shah: 2025, MS in Computational Science, Engineering, and Mathematics (CSEM): Low Rank-Based Image Reconstruction Methods for Dynamic Contrast Enhanced Multispectral Optoacoustic Tomography. Now Data Scientist II at Voleon Capital Management.
- Venugopal Ranganathan: 2024, MS in Computational Science, Engineering, and Mathematics (CSEM): Solving Large-Scale Inverse Problems in hIPPYlibX: An Application to Quantitative Photoacoustic Tomography. Now Ph.D. student in at UT Austin.
- Karan Prakash Hiranandani: 2023, MS in Computational Science, Engineering, and Mathematics (CSEM): hIPPYfire: an inexact Newton-CG method for solving inverse problems governed by PDE forward models. Now R&D Engineer at ANSI
- Peijie Qiu: 2021, MS in Computer Engineering: Data-Driven Approaches to Solve Inverse Problems
- Jieqiong Xiao (Master Research, SPRING 2019): ADLA: Automatic differentiation and local assembly of exotic finite element variational forms in MFEM
- Di Liu (co-advised by Dr. Ghattas): hIPPYLearn: an inexact Stochastic Newton-CG method for training neural networks, MS in Computational Science Engineering & Mathematics (CSEM), 2017
- Ge Gao (co-advised by Dr. Ghattas): hIPPYLearn: an inexact Newton-CG method for training neural networks with analysis of the Hessian, MS in Computational Science Engineering & Mathematics (CSEM), 2017
Undergraduate students
- Thomas Wynn: 2025 Undergraduate Research Assistant. Now Fullbright fellow at the Neuro-X Institute of the Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
- Argho Dattas (Undergraduate research, Fall 2018): Proximal Newton-type Methods
- Saleh, Bassel (co-advised by Dr. Ghattas): Scientific Machine Learning A Neural Network-Based Estimator for Forward Uncertainty Quantification, BS in Computer Science, Turing Scholars Honors, 2018