PHD Student at Carnegie Mellon University School of Computer Science
Pittsburgh, Pennsylvania, United States
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Summary
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Mingkai Deng is a PhD student in Natural Language Processing at Carnegie Mellon University with nine years of industry and research experience bridging data science and machine learning. Based in Pittsburgh, he conducts research in the Language Technologies Institute and as a research assistant in Prof. Eric Xing’s CASL lab, bringing applied experience from roles at Baidu Research, Weber Shandwick, and quantitative internships on Wall Street. He combines a strong theoretical background—MS in Machine Learning from CMU and a double major in Mathematics-Statistics and Computer Science from Columbia—with practical analytics work across startups and enterprise teams. Known for translating complex models into business-facing insights, he has contributed to business intelligence and global intelligence projects that required both rigorous research and operational delivery. An early research intern at MIT’s Center for Theoretical Physics, he blends curiosity about foundational problems with a pragmatic focus on scalable, composable learning systems.
9 years of coding experience
3 years of employment as a software developer
Shenzhen Middle School
Doctor of Philosophy - PhD Natural Language Processing, Doctor of Philosophy - PhD Natural Language Processing at Carnegie Mellon University School of Computer Science
Bachelor's Degree Mathematics-Statistics and Computer Science (Double Major), Bachelor's Degree Mathematics-Statistics and Computer Science (Double Major) at Columbia University
Contributions:23 pushes, 1 branch in 2 years 8 months
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Mingkai Deng - PHD Student at Carnegie Mellon University School of Computer Science