Haohan Wang

Haohan Wang is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, with affiliations to the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing Applications. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications, emphasizing robustness, causality, and interpretability in vision-based models.

Recent research trends in his work include:

• Large Language Model interactions with biomedical challenges (GenoAgent, GenoTex)
• Adversarial security in language and vision models (Guard, Jailbreakzoo)
• Genomic data analysis through robust machine learning frameworks (Precision Lasso, Kernel Mixed Models)
• Interactive toolkits like Robustar for data annotation and model training

Scientific awards include recognition as Baidu's Top 50 AI+X Rising Young Scholars (2022), Best Paper Honorable Mention at WSDM 2023, and Broad Institute's Next Generation status (2019). Current projects explore AI-made scientists for biomedical discovery and Robustar development for GUI-based robust vision learning.