Gautam Kunapuli

Gautam Kunapuli has more than 15 years of experience in both academia and the machine-learning industry. His work focuses on human-in-the-loop learning, knowledge-based and advice-taking learning algorithms, and scalable learning for difficult machine-learning problems. Gautam has developed several novel algorithms for diverse application domains, including social network analysis, text and natural language processing, computer vision, behavior mining, educational data mining, insurance and financial analytics, and biomedical applications. He has also published papers exploring ensemble methods in relational domains and with imbalanced data.