Research Scientist Bosch
Ziyi Francis Yin
尹梓屹 Ph.D.
I am a Research Scientist at Bosch, focusing on scientific AI methods for multiphysics simulation, optimization, and inverse problems.
My research centers on high-dimensional Bayesian inference for computationally expensive parameter-to-observable maps.
Research interests
- Scientific machine learning
- Large-scale inverse problems
- High-performance computing
- Computational imaging
- Numerical modeling and simulation
- Uncertainty quantification
- Simulation-based inference
Recent news
- I joined Bosch as a research scientist in Shanghai, China.
- An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring was published in Geophysical Journal International!
- WISE was selected as an honorable mention for the best paper in Geophysics in 2024!
- WISER was featured in Geophysics Bright Spot in The Leading Edge.
- Check out our interactive live demo on 3D electromagnetic simulation for silicon photonics design exploration!
- I started to work at KronosAI as a founding member of technical staff!
Earlier news 2020–2025
- Superstep wavefield propagation was published in Wave Motion!
- WISER was published in Geophysics!
- WISE was featured in Geophysics Bright Spot in The Leading Edge.
- Time-lapse full-waveform permeability inversion: a feasibility study was published in The Leading Edge!
- I successfully defended my PhD dissertation! Check out the slides.
- WISE was published in Geophysics!
- Check out An Uncertainty-Aware Digital Twin for Geological Carbon Storage, presented at SIAM UQ 2024.
- I successfully defended my PhD thesis proposal and got promoted to a PhD candidate!
- Inference of CO2 flow patterns -- a feasibility study was accepted in NeurIPS 2023 Workshop - Tackling Climate Change with Machine Learning as a spotlight paper.
- Solving multiphysics-based inverse problems with learned surrogates and constraints was published in Advanced Modeling and Simulation in Engineering Sciences.
- Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs was accepted in Computers & Geosciences. Learned multiphysics inversion with differentiable programming and machine learning was accepted in The Leading Edge. Coupled physics inversion for geological carbon storage monitoring, 3D seismic survey design by maximizing the spectral gap and Monitoring subsurface CO2 plumes with sequential Bayesian inference were accepted to be presented in 2023 International Meeting for Applied Geoscience and Energy.
- My IMAGE expanded abstract, Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators, was selected as 2022 IMAGE's Student Oral Paper Honorable Mention!
- Optimized time-lapse acquisition design via spectral gap ratio minimization was published in Geophysics.
- Check our recent progress on CO2 monitoring, Coupled physics inversion for geological carbon storage monitoring.
- Check our SIAM presentation, The Next Step: Interoperable Domain-Specific Programming.
- Derisking geological carbon storage from high-resolution time-lapse seismic to explainable leakage detection was published in the January 2023 special section in seismic resolution in The Leading Edge.
- I gave several presentations at ML4SEISMIC annual meeting.
- The time-lapse seismic monitoring of geological carbon storage work in SLIM group was featured in College of Computing at Georgia Tech news.
- Several abstracts were accepted and going to be presented at the 2022 International Meeting for Applied Geoscience and Energy Meeting.
- On behalf of SLIM group, I gave a 2-hour live tutorial on Julia for Geoscience in TRANSFORM 2022 conference. Check the recording on youtube here.
- I passed my PhD qualify exam!
- I presented our work on Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model in Oral Session TL 1: "Advances and Case Studies", International Meeting for Applied Geoscience & Energy.
- 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.
- I received SEG Technical Program Registration grant to register the IMAGE 2021 conference. Thanks SEG!
- I was promoted to be the President of Society of Exploration Geophysicists (SEG) Student Chapter at Georgia Tech. Check our facebook page here.
- I received SEG/Chevron Student Leadership Symposium (SLS) travel grant to attend the 2020 SEG Annual Meeting. Thanks SEG and Chevron!