News
FAD grant for AI-Empowered Cardiotoxicity Risk Prediction (Sep 2025)
With Prof. Rui Zhang (Surgery, UMN), we are proud to be funded by FDA to develop a scalable, generalizable, and explainable AI-powered informatics framework, CardioOnco-AI, on the curation and modeling of real-world data for individualized prediction of cardiotoxicity among breast cancer survivors. (Grant title: CardioOnco-AI: AI-empowered cardiotoxicity risk prediction among breast cancer survivors using multi-site real-world data; Amount: $1.5M)
NSF ACED grant for accelerating materials discovery with principled constrained deep learning modeling and optimization (Jun 2025)
with Prof. Chris Bartel (CEMS, UMN) and Prof. Zhaosong Lu (ISyE, UMN)
More details in https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435911
Grant: NIH R01 on Social Media Use and Mental Health
Co-PI, $2.8M, NIH, 2024–2028