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Haohan Wang is an Assistant Professor at the School of Information Sciences at the University of Illinois Urbana-Champaign. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications, particularly in decoding the genomic language relevant to Alzheimer's disease. His work leverages statistical analysis and deep learning methods with an emphasis on data analysis techniques that mitigate spurious signals—features that are statistically associated but not causally linked to targets. In 2019, Wang was recognized as part of the Generation Biomedicine by the Broad Institute of MIT and Harvard due to his contributions in addressing confounding factors within deep learning frameworks. He earned his PhD in Computer Science from the Language Technologies Institute of Carnegie Mellon University.
University of Illinois Urbana-Champaign • Champaign, IL
Researches trustworthy machine learning methods applied to biological and medical problems.
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