Channa Mettu is a distinguished leader and academic in the fields of Artificial Intelligence, Machine Learning, and Algorithms. He currently serves as the Senior Director and Head of Storefront AI & Personalization at Wayfair, spearheading initiatives to revolutionize customer experience through data-driven insights and advanced AI models. Concurrently, Channa is an Associate Professor in the Department of Computer Science at the University of Massachusetts Lowell, where his research focuses on algorithms, computational biology, and machine learning. He obtained his Ph.D. in Computer Science from the University of Texas at Austin in 2003. Dr. Mettu is known for his ability to bridge theoretical research with practical industry applications, contributing significantly to both domains through innovation, leadership, and education.
Channa Mettu's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As Senior Director and Head of Storefront AI & Personalization at Wayfair, he leads a significant division focused on applying cutting-edge AI and machine learning to enhance customer engagement and optimize online retail experiences for millions of users.
Awarded the prestigious National Science Foundation (NSF) CAREER Award for his research titled 'CAREER: New Algorithmic Approaches to Sequence-Structure Alignment and RNA Secondary Structure Prediction,' recognizing his early career promise and excellence in research and education.
Holds the position of Associate Professor at the University of Massachusetts Lowell, contributing to academic research, curriculum development, and mentoring graduate and undergraduate students in computer science with a focus on algorithms and machine learning.
Has a strong publication record in reputable journals and conferences, contributing to the body of knowledge in algorithms, computational biology, machine learning, and data science. His work is frequently cited, indicating its impact on the field.
Known for developing novel algorithms and computational techniques with practical applications, particularly in areas like bioinformatics and large-scale data analysis, translating complex problems into solvable computational models.
Board of Technical Education Karnataka
Karnataka Board of Technical Education
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