Luyao (Sunshine) Zhang is Assistant Professor of Economics and Senior Research Scientist at the Data Science Research Center at Duke Kunshan University (DKU). She has an abiding passion for interdisciplinary collaborations, especially for cutting-edge research of both profound insights and practical impacts, including Computational Economics (Algorithmic Game Theory and Mechanism Design), Explainable Artificial Intelligence (Machine Learning, AI Trust, Human-Computer Interaction), Cryptoeconomics (Blockchain for social good, Consensus Algorithms, DeFi), Behavioral Science (Bounded Rationality, Trust, and Cooperation), and Interdisciplinary Big Data (Social Media, Sustainability, and Global Health). Her current research interests are at the interplay of computational science and social science around the application scenarios of Blockchain. Her publications appear in economic journals for general interest and beyond, including American Economic Review: Papers and Proceedings, the Review of Economics and Statistics, the World Economy, Nature Scientific Data, Nature Social Indicators Research, ACM CCS, AAAI/ACM AIES, IEEE International Conference on Blockchain Proceedings, Remote Sensing, Journal of Digital Earth, Data and Information Management, etc. She received Ph.D. in Economics at Ohio State University, supported by Presidential Fellowship and NSF dissertation grant. She graduated from Peking University with a B.A. in Economics and a B.S. in Math and Applied Math. She holds Blockchain Strategy Certificate at Oxford University and more than 30 data science certificates. She is currently supported by National Science Foundation in China for her research agenda entitled “Trust Mechanism Design on Blockchain: An Interdisciplinary Approach of Game Theory, Reinforcement Learning, and Human-Computer Interactions.” Know more about her on the Duke Scholar page: https://scholars.duke.edu/person/luyao.zhang
Tianyu Wu, a senior student majoring in Applied Mathematics and Computational Sciences at Duke Kunshan University (DKU), serves as the 2022 Summer Research Project Manager. He has been serving on many pioneering projects for the great cause of research, innovation, and leadership supervised by Prof. Luyao Zhang.
First, he is among the Administrative Teaching Assistants for the interdisciplinary research course: “Econ 211 Intelligent Economics: An Explainable AI approach” in Autumn 2021 and “Econ 206 Computational Microeconomics” in Spring 2022, contributing to the industry 4.0 Open Educational Resources (OER) Series No. 2 and No. 3 as a student contributor. Moreover, he also contributed to “Innovate on the Internet Computer”, industry 4.0 OER Series No. 1 as the student project manager.
Saad Lahrichi is a senior student at Duke Kunshan University majoring in Data Science. His interests lie in the intersection of Machine Learning and Climate Science. Specifically, he is interested in applying computer vision to remote sensing data, and develop more accurate climate models. Saad also has experience researching data-driven solutions applied to cryptofinance. He has published a paper related to remote sensing, and one to automated trading. Saad is excited about impactful research and believes that his work on modeling and remote sensing can develop solutions that can be used globally to help with climate change mitigation and adaptation. He plans on pursuing a Ph.D. in the same field.
Carlos Gustavo is currently a Data Science student at Duke Kunshan University (DKU) and Duke University. In the summer of 2022, he joined Amazon.com as a Software Development Engineer (SDE) Intern on a Science Research team. During his internship, he created a data analysis package for internal use at AWS, contributed to research for the improvement of one of Amazon’s cloud services’ user experience, and will return as a full-time employee at Amazon’s headquarters in Seattle, WA after completing his degree.
He has served across both campuses as a Research Assistant and Student Research Scholar at the Department of Physics (Duke), the Sanford School of Public Policy (Duke), and the Data Science Research Center (DKU). Additionally, he has competed in competitions including the Alibaba GET Challenge (National Finalist, 2020) and Code for Good (Second Place, 2022).
Jiayi Li is a master’s student mathematics of finance at the Columbia University. She obtained her bachelor of science degree majoring in Data Science from Duke Kunshan University. She is particularly interested in quantitative research in the field of finance such as options trading.