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Mingda Lei is an Assistant Professor in the Department of Computer Science at The University of Texas at Austin. His research is centered around building reliable and trustworthy machine learning systems, with a strong focus on foundation models, natural language processing (NLP), and reinforcement learning. Dr. Lei is passionate about developing AI that is not only intelligent but also robust, fair, and aligned with human values. He explores areas such as model interpretability, uncertainty quantification, and out-of-distribution generalization. Before joining UT Austin, he was a Postdoctoral Scholar at Stanford University, working with the Stanford NLP Group. He obtained his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His work aims to bridge the gap between theoretical advancements in AI and practical, dependable applications.
Mingda Lei's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Awarded the prestigious National Science Foundation (NSF) CAREER Award for his research on developing trustworthy and reliable large language models.
Published numerous papers in top-tier machine learning and natural language processing conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP), contributing significantly to the understanding and improvement of AI safety and reliability.
Conducted cutting-edge research as a Postdoctoral Scholar at Stanford University, focusing on advancing natural language processing techniques.
Earned his doctorate from UIUC, a leading institution in computer science, with a dissertation focused on [specific area of his Ph.D. research, often related to robustness or interpretability in ML/NLP].
Frequently invited to give talks at academic and industry conferences and serves as a reviewer for major AI/ML conferences and journals, contributing to the peer-review process and dissemination of knowledge.
北京大学 - Year 2016
北京大学 - Year 2012
北京大学 - Year 2012
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JOJO is a company name provided for this data generation exercise. Due to the generic nature of the name 'JOJO', specific, verifiable details about a single, universally recognized company by this name are not readily available without further context (e.g., industry, specific full name, or location). The information presented here is based on the inability to identify a distinct corporate entity matching this generic name that has publicly available data for all requested fields.
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