Kaicheng Yang is an Assistant Professor in the School of Computing at Binghamton University and a researcher with eight years of experience studying how malicious actors and flawed systems distort online information. He pioneered Botometer, a widely used bot-detection tool that has supported journalists, public servants, and court experts—most notably during the Musk vs. Twitter trial—and his work on social bots and misinformation has been featured by major outlets like BBC, CNN, and The New York Times. Trained as a physicist and holding a Ph.D. in Informatics from Indiana University, he combines quantitative modeling of complex systems with practical defenses against misinformation and the emerging misuse of generative AI. He has bridged academia and industry through roles at Northeastern, TikTok, and as a consultant for high-profile legal and policy inquiries, bringing both technical depth and real-world impact to platform safety. Colleagues know him for translating rigorous research into accessible tools and policy-relevant evidence that shape how platforms and regulators respond to information threats.
8 years of coding experience
2 years of employment as a software developer
Doctorate, Informatics, Doctorate, Informatics at Indiana University Bloomington
Master of Science - MS, Statistical physics and complex systems, Master of Science - MS, Statistical physics and complex systems at Lanzhou University
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Kaicheng Yang - Assistant Professor at Binghamton University