Presentation: Panel: Sequential Data

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence in Seattle, where he works on AllenNLP, a deep learning framework for AI researchers. He wrote the beloved O'Reilly book Data Science from Scratch and the beloved blog post "Fizz Buzz in Tensorflow". In his spare time he does stand-up comedy and makes livecoding videos. Oh, and he doesn't like notebooks.

Keunwoo Choi is currently a Research Scientist at Spotify working with deep learning. Before working at spotify he worked for Naver Labs Corp and the Electronics and Telecommunications Research Institute. He has worked with music signal and deep learning, music information retrieval, technical translation, and various digital audio processing projects. Keunwoo received his Master of Science in Electrical Engineering and Computer Science from Seoul National University and his PhD from Queen Mary University of London.

Emmanuel Ameisen is the Head of AI at Insight Data Science. Emmanuel has years of experience going from product ideation to effective implementations. At Insight, he has led over a hundred AI projects from ideation to finished product in a variety of domains including Computer Vision, Natural Language Processing, and Speech Processing. Previously, he implemented and scaled out predictive analytics and machine learning solutions for Local Motion and Zipcar. Emmanuel holds master’s degrees in artificial intelligence, computer engineering, and management from three of France’s top schools.

Sean J. Taylor is a computational social scientist on Facebook's Core Data Science team specializing in field experiments, statistical modeling, and causal inference. His research interests include social influence processes and combining human expertise with machine learning. Sean received his Ph.D. in information systems at NYU’s Stern School of Business and holds a B.S. in economics from The University of Pennsylvania.