My interests include natural language processing and applying machine learning to various real world problems - most recently in the medical domain. My thesis research was in the realm of question answering. In the past few years I have worked on applied machine learning and data mining, particularly on natural language problems such as question answering, automatic content extraction, detecting semantic coherence, case restoration, machine translation and automatic MT evaluation, as well as multi-agent planning under uncertainty (with Sebastian Thrun). My Ph.D. advisor was Jaime Carbonell.

My Ph.D. thesis focus was "Instance Based Question Answering", a statistical, data-driven approach to question answering in which we learn multiple answering strategies directly from training questions and answers. Thesis committee: Jaime Carbonell (CMU), Eric Nyberg (CMU), Tom Mitchell (CMU), Nanda Kambhatla (IBM TJ Watson)

	Papers Instance-Based QA Medical IE BLANC	Monica Andrei Greenfield Kuki

You can reach me by email at first name dot last name at gmail.com or siemens.com.