Haohan Wang
Associate Director - Blockchain & Digital Assets
Hong Kong, China
Summary
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Senior🎓
Top SchoolHaohan Wang is an Associate Director specializing in blockchain and digital assets with 11 years of experience bridging data science, deep learning, and behavioral analytics. Currently at UBS, he leads applied research initiatives while collaborating with Stanford’s Huberman Lab to identify physiological and social fingerprints of fear and anxiety using affective computing methods. He has a track record across finance and energy firms, co-authored a book on applied deep learning, and contributes research and tooling through his DyadxMachina projects and blog. Comfortable moving research into production, he combines probabilistic and statistical rigor with practical ML engineering (Python, TensorFlow) to model complex psychological constructs from social data. Based in Hong Kong, he brings a rare mix of quantitative finance, academic collaboration, and affective AI expertise to product-focused innovation.
11 years of coding experience
6 years of employment as a software developer
Stanford UniversityNanodegree, Nanodegree at UdacityBachelor's degree, Bachelor's degree at Jilin UniversityMaster of Science - MS, Master of Science - MS at Drexel University's LeBow College of BusinessGithub contributions (5)
dyadxmachina/Applied-Deep-Learning-with-TensorFlow
Apr 2018 - Jul 2018
Contributions:39 commits, 27 pushes in 3 months
haohan723/Distributed-Deep-Learning
Jan 2018 - Apr 2018
Contributions:259 pushes, 1 branch in 3 months
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