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Haohan Wang
Assistant Professor at University of Illinois at Urbana-Champaign specializing in trustworthy machine learning and computational biology
Haohan Wang is an assistant professor in the School of Information Sciences at the University of Illinois Urbana-Champaign.12 He joined the faculty in August 2022 after completing his PhD in computer science at Carnegie Mellon University.34
Research Focus
Wang's research primarily focuses on two main areas:
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Trustworthy Machine Learning: He develops methods to make machine learning algorithms more reliable and robust, particularly for applications in computational biology and healthcare.25
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Computational Biology: Wang works on understanding the genetic basis of complex human disorders, with a particular emphasis on Alzheimer's disease.25
Academic Background
- PhD: Computer Science, Carnegie Mellon University (2015-2021)34
- MS: Carnegie Mellon University (2012-2014)4
- BS: Beijing University of Post and Telecommunication (2008-2012)4
Notable Achievements
- Recognized as one of the top 50 AI+X rising young scholars by Baidu Inc. in 20222
- Named as part of the "Next Generation: Rising Stars in Biomedicine" by the Broad Institute of MIT and Harvard in 20191
Professional Activities
Wang is an organizer of the Trustworthy Machine Learning Initiative.1 He has given numerous talks and tutorials on trustworthy machine learning and its applications in computational biology at various conferences and institutions.2
Research Goals
Wang aims to develop machine learning tools that can be reliably used by physicians and biologists without requiring extensive machine learning expertise.5 His ultimate goal is to create trustworthy algorithms that can consistently provide accurate and reproducible results in understanding and treating complex disorders like Alzheimer's disease.5
