Artificial Intelligence, Jane Austen, and the Law
An expert in machine learning and natural language processing, Apoorv Agarwal is dedicated to understanding and improving how humans and machines benefit from working together. His work, which focuses on sentiment analysis, relation extraction, text summarization, and automated Q&A, has received more than 1,000 citations across the international research community.
Agarwal received the IBM Ph.D. Fellowship award in recognition of his work as first author on two separate patents for IBM’s Watson. He received his M.S. and Ph.D. in Computer Science from Columbia University, and received the Andrew P. Kosoresow Memorial Award for Outstanding Performance in Teaching. Agarwal has published more than 30 academic papers in machine learning and natural language processing. In 2014, he was awarded a grant from the National Science Foundation’s Innovation Corps program, which allowed him to lay the foundation for founding his company, Text IQ.
Beyond academia, Agarwal has been cited by American Banker, WIRED, Popular Science, New Scientist, and Science Magazine, among others. With Text IQ, he aspires to harness and channel the complementary strengths of humans and machines towards solving high-stakes enterprise data problems. Among other novels, his research focused on the work of C.S. Lewis and Jane Austen. He is one of the co-creators of the Ted Talk "Artificial IntelliDance," a performance which explains AI to a non-technical audience through dance.
View Video: YouTube with Apoorv Agarwal