PhD Candidate in Computer Science, Columbia Engineering
Effland is an NSF IGERT "Data to Solutions" fellow working with Prof. Luis Gravano. He researches novel techniques for extracting actionable information on rare events from social media. He is currently working on a project finding evidence of point-source food poisoning outbreaks from Twitter, Yelp, etc. to help the NYC Department of Health launch targeted investigations of restaurants more responsively.