My research area is Natural Language Processing. My adviser is Ralph Grishman. I am mainly focusing on semi-supervised techniques to improve the performance of information extraction, particularly event extraction. Approaches that have been shown successfully to improve the performance of Event Extraction: 1.Dependency Regularization 2.Semi-supervised Pattern Expansion 3.Active Learning

Speech Scientist & Machine Learning Scientist @ From May 2015 to Present (8 months) PHD student @ Geometric Modeling in 3-D Voronoi Diagrams Root Isolation From September 2010 to Present (5 years 4 months) Trader @ exchange rate trader From July 2011 to August 2011 (2 months) Basketball Columnist @ From April 2010 to July 2010 (4 months) Undergraduate Student @ Computer vision Face recognition & Vehicle License Recognition From September 2006 to May 2010 (3 years 9 months)

Doctor of Philosophy (Ph.D.), Computer Science @ NYU From 2010 to 2016 Bachelor's Degree, Computer Software Engineering, A @ Nanjing University From 2006 to 2010 Nankai High School From 2000 to 2006 Kai Cao is skilled in: Natural Language Processing, Data Science, Machine Learning, Active Learning, Big Data, Java, Eclipse, Algorithms, Computer Vision, Computer Science, C++, Data Mining, Matlab, LaTeX, Image Processing