Guannan Zhang, Ph.D. - Research Group

Research Group

Postdoctoral Fellow in Computer Science and Mathematics Division at ORNL

Ph.D. in Applied Mathematics, Florida State University, 2025.
Research area: Generative AI for data assimilation and optimal control.
Funding support: DOE Early Career project "Advanced UQ methods for Scientific Inverse Problems".

Postdoctoral Fellow in Center for Nanophase Materials Sciences at ORNL (co-supervised with Dr. Miaofang Chi)

Ph.D. in Material Science, North Carolina State University, 2023.
Research area: Development and characterization of new materials; AI/ML for analysis of microscopy data and control of microscopy experimentation.
Funding support: DOE-ASCR project: "Machine Learning for Scientific Data Analytics at DOE User Facilities".

Ph.D. Student in Applied Mathematics at Auburn University

Co-supervised with Prof. Yanzhao Cao at Auburn University.
Research area: Probabilistic generative models such as normalizing flows and diffusion models.
Funding support: DOE-ASCR project: "DyGenAI: Dynamic Generative Artificial Intelligence for Prediction and Control of High-Dimensional Nonlinear Complex Systems".

Ph.D. Student in Applied Mathematics at Department of Mathematics, Ohio State University.

Ph.D. Student in Applied Mathematics at Department of Mathematics, Missouri Tech.

Research area: generative models for uncertainty quantification.
Funding support: DOE-ASCR project: "DyGenAI: Dynamic Generative Artificial Intelligence for Prediction and Control of High-Dimensional Nonlinear Complex Systems".

Junior student at Oak Ridge High School (ORHS).
Working with us on AI for scientific problems for his Math Thesis Course at ORHS in 2025.

Junior student at Oak Ridge High School (ORHS).
Working with us on AI for scientific problems for his Math Thesis Course at ORHS in 2025.

Postdoctoral Fellow in Computer Science and Mathematics Division at ORNL (2023-2025)

Ph.D. in Applied Mathematics, Florida State University, 2023.
Current position: Tenure-Track Assistant Professor, Department of Mathematics and Statistics, Auburn University.
Funding support: DOE Early Career project "Advanced UQ methods for Scientific Inverse Problems".

Postdoctoral Fellow in Computer Science and Mathematics Division at ORNL (2023-2024)

Ph.D. in Applied Mathematics, Michigan Technological University, 2020.
Current position: Tenure-Track Assistant Professor, Department of Mathematics, Middle Tennessee State University.
Funding support: DOE Early Career project "Advanced UQ methods for Scientific Inverse Problems".

Postdoctoral Fellow in Neutron Scattering Division at ORNL (co-supervised with Dr. Huibo Cao, 2022-2024)

Ph.D. in Condensed Matter and Materials Physics, McMaster University, 2021.
Current position: Associate Staff Scientist at ORNL.
Funding support: DOE-ASCR project "Efficient and reliable machine learning for leadership facility scientific data analytics".

Postdoctoral Fellow in Neutron Scattering Division at ORNL (co-supervised with Dr. Huibo Cao, 2021 - 2023)

Ph.D. in Condensed Matter Physics, Fudan University, 2021.
Current position: Associate Staff Scientist at ORNL.
Funding support: DOE-ASCR project "Efficient and reliable machine learning for leadership facility scientific data analytics".

Postdoctoral Fellow Computer Science and Mathematics Division (2020-2022)

Ph.D. in Mechanical Engineering, Johns Hopkins University, 2020.
Current Position: Senior Data Scientist at Walmart Global Tech, Mountain View, CA.
Funding support: DOE-ASCR project "Black-box training for scientific machine learning models".

Ph.D. Student in Applied Mathematics at Auburn University (2015-2019)

Co-supervised with Prof. Yanzhao Cao at Auburn University.
Current Position: Associate Staff Scientist in Fusion Energy Science Division at ORNL.
Funding support: DOE-ASCR project "Black-box training for scientific machine learning models".

Former Student Interns

Rushi Leburu, Department of Mathematics, Emory University, 2025
Xiangming Huang, School of Computational Science and Engineering, Georgia Tech, 2025
Kevin Li, Department of Computer Science, University of Michigan, 2024
Alisa Bryantseva, Farragut High School, 2024
Leo Tunkle, Department of Nuclear Engineering, University of Michigan, 2024
Yuwei Geng, Department of Mathematics, University of South Carolina, 2024
Ali Haisam Muhammad, Department of Computer Science, Virginia Tech, 2024
Siming Liang, Department of Mathematics, Florida State University, 2024
Yao Yao, Department of Mathematics, University of Iowa, 2023.
Augustine Twumasi, Department of Mathematics, University of Texas El Paso, 2023.
Jacob Smith, Material Science and Engineering Department, North Carolina State University, 2022-2023.
Zhaiming Shen, Department of Mathematics, University of Georgia, 2022.
Siyan Liu, Department of Chemical and Petroleum Engineering, University of Kansas, 2019.
Kan Zhang, Department of Mathematics, Illinois Institute of Technology, 2019.
Sirui Bi, Department of Mechanical Engineering, Johns Hopkins University, 2019.
Jie Yang, Department of Mathematics, Shandong University, 2016.
Qingguang Guan, Department of Scientific Computing, Florida State University, 2015.
Feifei Xu, Department of Scientific Computing, Florida State University, 2015.
Feng Bao, Department of Mathematics and Statistics, Auburn University, 2013.

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