Dan studied Computer Science and Linguistics and the University of Delaware where he received Masters degrees in both. While at UD, his research focused on modeling how infants learn segment speech into words. His professional software career began at Educational Testing Service (ETS) where he was a Research Engineer working on automated written response scoring for four years prior to joining Parse.ly. He is currently a Software Engineer on the Backend team at Parse.ly.
While at ETS, Dan was the lead developer of several open source tools including SciKit-Learn Laboratory (SKLL), GridMap, and IO::Storm. He also maintains the Python character encoding detection library, chardet, which is used internally by requests and many other popular Python modules.
Since joining Parse.ly, Dan's primary open source contribution have been on a Python library for Apache Storm called streamparse.
Wednesday 9:00 AM–10:30 AM in Room 3