I am a Ph.D. student in Computer Science in the School of Engineering and Applied Sciences at Harvard University (2013-present; S.M. 2014), working with Stuart Shieber. Previously, I was a Ph.D. student based in the Department of Government in the area of Methods and Formal Theory (2010-2013). I have a M.A. from Stanford University (2010) and a B.A. from Northwestern University (2006).

I spent the summer of 2012 with Jonathan Yedidia's group at Disney Research, Boston, and I spent the summer of 2013 with Mercè Crosas's group at the Institute for Quantitative Social Science (IQSS) at Harvard University. I worked with Kevin Knight's group at the Information Sciences Institute during the summer of 2014.

I completed additional language training in Beijing (PIB), Taipei (ICLP), Yokohama (IUC), and the United States at Cornell University (FALCON).

I gratefully acknowledge current and past funding for my graduate studies and research from Harvard University, the Mitsubishi UFJ Foundation, the US Department of Education, a Foreign Language and Area Studies (FLAS) Fellowship, and Stanford University.

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Feel free to use the following bio for speaking engagements:

Allen Schmaltz is a Ph.D. student in Computer Science in the School of Engineering and Applied Sciences at Harvard University (2013-present; S.M. 2014), working with Stuart Shieber. He is interested in formal, statistical, and human-augmented machine learning approaches for computational linguistics (and AI, more generally). Before starting his Ph.D. in Computer Science, he completed the better part of an additional Ph.D. in the (quantitative) social sciences at Harvard University (2010-2013), received a M.A. from Stanford University (2010), and received a B.A. from Northwestern University (2006). Earlier in his academic career he also studied at Cornell University and in Yokohama, Japan, among other places.