I am an associate professor of Computer and Information Science at the University of Pennsylvania. Before joining Penn, I was a research faculty member at the Center for Language and Speech Processing at Johns Hopkins University for 6 years. I served as the General Chair of the ACL 2017 conference, and the Program Co-Chair for the EMNLP 2015 conference. I was the Chair of the Executive Board of NAACL from 2011-2013, and the Secretary-Treasurer for SIGDAT from 2015-2017. I have served on the editorial boards of the journals Transactions of the ACL (TACL) and Computational Linguistics. I have more than 100 publications, which have been cited over 10,000 times. I am a Sloan Research Fellow, and I have received faculty research awards from Google, Microsoft, Amazon and Facebook in addition to funding from DARPA and the NSF. My research interests include natural language processing and crowdsourcing.
Coursera
Dive into the world of Artificial Intelligence with our beginner-friendly course. Explore AI through a unique blend of philosophy, science fiction, and practical coding exercises. Gain foundational knowledge in rational agents, search algorithms like A* search, and more, all while enhancing your Python skills with hands-on assignments.
Coursera
Dive into the world of Machine Learning with our beginner-friendly course. Gain a solid foundation in key ML techniques such as linear regression and classification. Master these skills by completing hands-on coding exercises in Python. Perfect for those new to machine learning who want to solve real-world problems using statistical learning methods.
Coursera
Dive into the world of data science with our 'Statistics for Data Science Essentials' course. This beginner-friendly program will guide you through the basics of discrete math and probability, equipping you with essential tools like the central limit theorem and confidence intervals. Perfect for those looking to build a strong foundation in statistical analysis.