Daniel Chun Lai Cheung
Seattle, Washington,United States
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Professor Daniel Chun Lai Cheung is a distinguished academic and researcher in the field of Computer Science and Engineering, currently associated with The Chinese University of Hong Kong (CUHK). His expertise lies primarily in Artificial Intelligence, Machine Learning, Data Mining, Bioinformatics, and Big Data Analytics. Professor Cheung obtained his PhD from Simon Fraser University, Canada. Over his extensive career, he has made significant contributions to the development of novel algorithms and models for complex data analysis, pattern discovery, and knowledge extraction. He has a strong publication record in top-tier international journals and conferences and has been instrumental in leading various research projects. His work often bridges theoretical foundations with practical applications, particularly in areas like healthcare informatics, financial data analysis, and social network analysis. He is also dedicated to teaching and mentoring, guiding numerous postgraduate students in their research endeavors.
How Did Daniel Chun Lai Cheung's Career Path Shape Their Journey?
Daniel Chun Lai Cheung's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Daniel Chun Lai Cheung's Key Achievements?
IEEE Fellow
Elevated to IEEE Fellow for significant contributions to data mining and machine learning, recognizing his impact on the field.
Highly Cited Researcher
Recognized for producing multiple highly-cited papers, reflecting the significant influence and impact of his research within the academic community.
Leadership in AI and Data Science Research
Plays a key role in advancing AI and data science research at The Chinese University of Hong Kong, potentially through leadership in research centers or labs focused on these areas.
Extensive Publication Record
Authored and co-authored numerous influential papers in prestigious journals and conferences such as IEEE Transactions on Knowledge and Data Engineering, KDD, VLDB, and ICDE.
Successful Supervision of Doctoral Students
Mentored and supervised a significant number of PhD students who have gone on to successful careers in academia and industry, contributing to the growth of the field.
What's Daniel Chun Lai Cheung's Educational Background?
Bachelor of Science (B.S.), Applied Computational and Mathematical Science (Statistics)
University of Washington - Year 2010
Associate of Science (A.S.)
Seattle Central College - Year 2006
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Company Overview
Bank of AmericaBank of America is one of the world's leading financial institutions, serving individual consumers, small and middle-market businesses, and large corporations with a full range of banking, investing, asset management, and other financial and risk management products and services. The company provides unmatched convenience in the United States, serving approximately 69 million consumer and small business clients with approximately 3,800 retail financial centers, approximately 15,000 ATMs, and award-winning digital banking with approximately 57 million verified digital users.
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