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Jing Chen

Assistant Professor at Computer Science, Stony Brook University0 Followers

Professor Jing Chen is a distinguished academic and researcher in the field of computer science, with a particular focus on game theory, mechanism design, and distributed ledgers. She is currently affiliated with the Computer Science Department at Stony Brook University, where she contributes to both teaching and research. Her work is renowned for its depth and innovation, particularly in the areas of smart contracts and algorithms. In addition to her academic role, Professor Chen serves as the Chief Scientist and Head of Theory Research at Algorand Inc., where she applies her expertise to the development of cutting-edge blockchain technologies. Her research interests extend to computational game theory, auctions, markets, and healthcare, where she explores the intersection of economics and computation. Professor Chen's academic journey began at Tsinghua University, where she earned both her Bachelor's and Master's degrees in Computer Science. She further advanced her studies at the Massachusetts Institute of Technology (MIT), obtaining a PhD in Computer Science. Her academic excellence has been recognized with prestigious awards, including the NSF CAREER Award, which highlights her contributions to the field. Throughout her career, Professor Chen has been actively involved in various professional services and editorial roles, particularly those related to economics and computation. Her work has significantly influenced the understanding and application of algorithms and computational complexity in real-world scenarios. As an assistant professor at Stony Brook University, she has been instrumental in shaping the curriculum and mentoring the next generation of computer scientists. Her dedication to education and research continues to inspire students and colleagues alike, fostering an environment of innovation and collaboration. Professor Chen's contributions to the field are not only academic but also practical, as she bridges the gap between theoretical research and its application in technology and industry. Her work at Algorand Inc. exemplifies this, as she leads efforts to create secure and efficient blockchain solutions that have the potential to transform various sectors.

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