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Ph.D. 2020
Dissertation: Learning with Minimal Supervision: New meta-learning and reinforcement learning algorithms
Now Researcher at Microsoft Research
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Ph.D. 2018
Dissertation:Teaching Machines to Ask Clarification Questions
Now Researcher at Microsoft Research
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Ph.D. 2017 (co-adv. with Jordan)
Dissertation: Beyond Sentential Language Understanding with
Deep Learning
Now Asst Prof @ UMass
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Postdoc (co-adv. with Philip)
Social media analysis
Now Asst Prof @ UMass Lowell
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Postdoc (co-adv. with Philip)
Machine translation
Now at Amazon Research
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Ph.D. 2016 at UMD
Dissertation: Structured approaches to exploring inter-personal relationships in natural language text
Now Asst Prof at UNC Chapel Hill
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Ph.D. 2016 at UMD
Dissertation: Sequential Decisions and Predictions in Natural Language Processing
Now Asst Prof at NYU
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Undergraduate: Deep neural networks
Now at YouTube
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Ph.D. 2014 at UMD
Dissertation: Efficient Non-Deterministic Search in Structural Prediction
Now at Two Sigma
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Postdoc (2013-14) at UMD
Dialog and belief state, education analytics
Now Asst. Prof at Purdue
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Ph.D. 2012 at UMD
Dissertation: Learning with Multiple Similarities
Now at Google Brain
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Postdoc (2011-13) at UMD
Computational analysis of scientific literature
Now at IBM Research
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Ph.D. 2012 at UMD
Dissertation: Discriminative Interlingual Representations
Now at Google
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Ph.D. 2012 at UMD
Dissertation: Streaming and Sketch Algorithms for Large Data NLP
Now at Criteo
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Ph.D. 2012 at UMD
Dissertation: Geometric Methods in Machine Learning and Data Mining
Now at IBM Research
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Ph.D. 2012 at Utah
Dissertation: Learning Latent Structures via Bayesian Nonparametrics: New Models and Efficient Inference
Now Ass't Prof and Fellow at IIT Kanpur
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MS 2009 at Utah
Now at Microsoft Channel 9
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Adam Teichert
MS 2009 at Utah
Linguistically informed syntax
Now Asst Prof @ Snow College
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BS 2008 at Utah
Now Asst Prof @ Amherst College
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