I am a 3rd year PhD student in Computational Science and Engineering at Georgia Institute of Technology, advised by Prof. Felix J. Herrmann. I work in SLIM (Seismic Laboratory for Imaging and Modeling) group on multiphysics-driven machine learning, especially in the field of time-lapse seismic monitoring of carbon capture and storage (CCS). We aim to develop low-cost & robust seismic imaging methods and build open-source software framework to
- monitor the CO2 movement in the Earth subsurface
- mitigate the risk of CO2 leakage by early detection
- evaluate sensitivity of seismic monitoring for CCS
In general, my research interests include (but not limited to)
- machine learning
- large-scale inverse problems
- scientific computing
- PDE-constrained optimization
- computational imaging
- uncertainty quantification
Before coming to Georgia Tech, I graduated from Emory University in 2019, with a summa cum laude Bachelor of Science degree in Mathematics and Computer Science. I conducted research on regularization methods for image reconstruction from CT scans, advised by Prof. James G. Nagy and wrote my honors thesis, Edge Detection and Enriched Subspaces.
In my spare time, I enjoy playing golf, basketball and hiking.
Sep, 2021: I gave a talk at Georgia Tech Geophysics Seminar on “low-cost and robust seismic monitoring of carbon storage and sequestration with the joint recovery model”.
Aug, 2021: I started to work as the head TA for CSE/ISYE 6740 Computational Data Analysis taught by Prof. B. Aditya Prakash in Fall 2021 semester.
Aug, 2021: I received SEG Technical Program Registration grant to register the IMAGE 2021 conference. Thanks SEG!
Jun, 2021: Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model was accepted by International Meeting for Applied Geoscience & Energy (IMAGE) 2021 as a 20-min talk.
Jun, 2020: I received SEG/Chevron Student Leadership Symposium (SLS) travel grant to attend the 2020 SEG Annual Meeting. Thanks SEG and Chevron!