Daniel Tang

Daniel (Tsungyeh) Tang is a Data Scientist at Atlassian, where they leverage their expertise to drive data-driven insights. Previously, they served as a Senior Data Scientist at Xemelgo, leading efforts to predict supply chain disruptions using machine learning and IoT data. Daniel completed a highly competitive Data Science Fellowship at Insight Data Science, where they developed models for fraud detection and dynamic pricing. They earned a PhD in Materials Science and Engineering from the University of California, San Diego, and also held research positions at various esteemed institutions, including National Tsinghua University and BLEND360.