Hao Wang
Research Scientist
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Hao Wang is a research scientist at the MIT-IBM Watson AI Lab. Wang’s research lies at the intersection of information theory, statistical learning theory, and optimization. His ultimate research goal is to design trustworthy machine learning algorithms with rigorous performance guarantees. He received PhD in applied mathematics of the School of Engineering and Applied Sciences (SEAS) at Harvard University, advised by Flavio P. Calmon. Before joining Harvard University, he received a BS in mathematics and applied mathematics from the University of Science and Technology of China (USTC) in 2016. Wang was awarded the 35th Guo Moruo Scholarship which is the highest honor at USTC.