About me
I am a master’s student at MIT, pursuing dual degrees at IDSS and EECS. My research interests include AI for sustainability and AI for science.
I am fortunate to be advised by Prof. Elsa Olivetti for my research, and to receive guidance from Dr. Jie Chen from MIT-IBM Watson AI Lab. My previous and ongoing projects cover the development of AI methods including NLP, explainable AI, GNN, and generative models for application scenarios related to materials informatics and decarbonization of energy and manufacturing systems.
Previously, I completed my undergraduate studies at Tsinghua University, China.
Ongoing and Previous Projects
Also see Publications
Multimodal representation learning for materials with a novel generalizable method of text-graph integration [Work in progress]
Efficient LLM scientific literature mining with a novel method adopting multichoice instruction-tuning of lightweight LLMs to address a variety of linguistic complexity. [ICLR workshop paper] [Journal preprint] [Code]
Explainable AI for concrete engineering property prediction and biobjective optimization for mix design to reduce carbon footprint and cost. [AAAI workshop paper] [Journal manuscript in preparation] [Code to be available soon]
Cross-system modeling and spatiotemporal data analysis of energy-water-land co-evolution under climate change and policy scenarios. [Journal paper]
Other Projects with Collaborators
Conditional generative modeling for materials synthesis planning [NeurIPS workshop paper] [Further Work in progress]
Reaction graphs and structure-agnostic materials representation learning [NeurIPS workshop paper] [Further Work in progress]