I have a broad research interest in large-scale machine learning, data mining, and AI+Health. My research is anchored in the vision of Unified Knowledge Integration - an innovative approach that harnesses AI to unify insights from large-scale, noisy, multimodal, and heterogeneous datasets. By seamlessly integrating domain knowledge with novel machine learning and generative AI techniques, my research aims to transform various real-world domains. To know more about my research and recent papers, please check out the Intelligent Data Analytics (ILLIDAN) Lab website.

Pronouns

he/him/his

Areas of interest

Machine learning, AI+health informatics, AI+X/data mining

Honors & Awards

2023 NSF/NIST Privacy-Enhancing Technologies Challenges, Phase 2, Final Winner/Third Place, highlighted at Summit of Democracy by The White House as privacy-enhancing technologies that reinforce democratic values. 
2022 ACM SIGKDD 2022: Health Day Best Paper Award 
2018 NSF CAREER Award 
2017 Isadore & Margaret Mezey Junior Investigator Travel Award, Michigan Alzheimer’s Disease Center 
2016 IEEE BigData 2016: Best Paper Award 
2016 IEEE ISBI 2016: Best Student Paper Award 
2014 IEEE ICDM 2014: Best Student Paper Award

Education

PhD, Arizona State University