Zongyi Li

Zongyi is a Ph.D. student advised by Anima Anandkumar in the CMS department at Caltech (2019-2024). He has a broad interest in machine learning and applied math. Recently, Zongyi is focusing on developing deep learning methods for partial differential equations. He is leading the research on neural operator methods that generalize neural networks to operator learning settings. Zongyi received a B.S. with a double major in computer science and math at Washington University in St. Louis (2015-2019), when he was advised by Brendan Juba and Xiang Tang. He receives support from the Kortschak Scholarship, PIMCO Fellowship, Amazon AI4Science Fellowship, and NVIDIA Fellowship.
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Posts by Zongyi Li

Image of underground reservoir modeling.
Simulation / Modeling / Design

Using Carbon Capture and Storage Digital Twins for Net Zero Strategies

CO2 capture and storage technologies (CCS) catch CO2 from its production source, compress it, transport it through pipelines or by ships, and store it... 13 MIN READ
Simulation / Modeling / Design

Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage

Climate change mitigation is about reducing greenhouse gas (GHG) emissions. The worldwide goal is to reach net zero, which means balancing the amount of GHG... 11 MIN READ