I'm a first-year CSE student in Dr. Chai's lab -- masters at the moment, but planning to go PhD. My interests are pretty broad, often too broad; right now I'm trying to focus on natural language processing, particularly as it represents / overlaps cognitive processes and internal representations of information, which is roughly AI -- but there again, too broad. Basically, my research group is making robots talk about cups.
I've spent a few years out of academia doing contract work, mostly web stuff, and I suspect I'm still thinking more like an engineer than a scientist. This class might help me figure out where to draw the line between those, and when to blur it; also how people think about stats in an experimental setting, and when evolutionary techniques are suited to solving a problem.
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