About

Kiran Vodrahalli is a highly accomplished Research Scientist at Google Brain, specializing in resource efficient machine learning, sequence modeling, and incentives/strategizing in learning. With a Ph.D. in Computer Science from Columbia University, Kiran has worked with renowned Professors Daniel Hsu and Alex Andoni on theoretical computer science and machine learning. Kiran's expertise in machine learning is reflected in his impressive list of publications and research activities, which can be found on his personal website, kiranvodrahalli.github.io. He has also worked as a part-time student researcher at Google Brain, where he gained valuable experience in the industry. Kiran's educational background includes a Bachelor of Arts in Mathematics and a Master's degree in Computer Science from Princeton University. He also attended The Harker School for his high school education. As a Research Scientist at Google Brain, Kiran has been instrumental in developing efficient machine learning algorithms that have revolutionized the field. He has a deep understanding of the latest technologies and techniques in machine learning, which he uses to create innovative solutions to complex problems. Kiran's technical expertise includes research scientist and machine learning. He has 0.76 years of relevant experience in the field. He is a highly motivated individual who is committed to delivering exceptional results in his work. Kiran is an excellent team player, and his strong communication skills make him an asset to any team.