440 Huntington Avenue
472 West Village H
Boston, MA 02115
- MS in Computer Science, University of Texas at Austin
- BS in Computer Science & Mathematics, State University of New York at Potsdam
- AS in Computer Information Systems, Hudson Valley Community College
- Hometown: Ballston Lake, New York
- Field of Study: Computer Science
- PhD Advisor: Byron Wallace
Edward Banner is a PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Byron Wallace. A native of Ballston Lake, NY, Edward earned his bachelor’s degree in computer science and mathematics from the State University of New York at Potsdam and his master’s degree in computer science from the University of Texas at Austin.
Edward’s research areas include artificial intelligence, data science, machine learning and natural language processing and information retrieval. He is also a member of the Applied Machine Learning Group. Edward hopes to make advancements in the field of natural language processing and artificial intelligence.
What are the specifics of your graduate education (thus far)?
My graduate education thus far has consisted primarily on familiarizing myself with various application areas of artificial intelligence, such as natural language processing, computer vision, and robotics, as well as identifying research problems in these areas.
What are your research interests?
I have worked on several research projects with focuses ranging from crowd-sourcing to modeling human movement from motion-tracking data. I have focused much of my research efforts since my involvement with these projects on natural language processing due to personal interests and potential for improving everyday life.
What’s one problem you’d like to solve with your research/work?
Multi-document summarization. For example, having a system which is able to automatically determine the efficacy of a drug for a disease from all available evidence in the medical literature would be very useful for medical practitioners!
What aspect of what you do is most interesting?
Since entering graduate school, I have been very excited by the field of artificial intelligence and the challenge of building intelligent computer systems. One counter-intuitive fact of artificial intelligence is that some of the hardest problems for computers to solve are very easily solved by humans, for instance understanding linguistic, visual, and audio data. The contrapositive is also true; many problems that many humans find hard are very easy for computers, such as board games like chess.
What are your research or career goals, going forward?
My research goals include contributing novel, efficient, and practical methods and models for natural language processing.