David Pellow

David Pellow

Email: dpellow✉andrew.cmu.edu 



Master Student
Language Technologies Institute
School of Computer Science
Carnegie Mellon University

Education

BASc Engineering Science, U of T


2009-2013
I received my BASc in Engineering Science in the Electrical and Computer Engineering Option at the University of Toronto.
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MS Language Technologies, CMU


2013-present
I am currently a Master's student in the Language Technologies Institute at Carnegie Mellon. LTI Website
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My Research


I am currently advised by Professor Carl Kingsford. I am working on discovering the genetic origin and mechanisms of expression of Pre-Implantation Factor (PIF) in human embryos.

In the 2013-2014 academic year I conducted research in automated text simplification, advised by Professor Maxine Eskenazi. We ran a collaborative crowdsourcing experiment to collect iterative, human-generated sentence simplification for analysis and modeling. For more information on the project see our publications.


Publications


David Pellow, Maxine Eskenazi: Tracking Human Process Using Crowd Collaboration to Enrich Data, Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP) Works-in-Progress, AAAI 2014. PDF

David Pellow, Maxine Eskenazi: An Open Corpus of Everyday Documents for Simplification Tasks, Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR), EACL 2014. PDF

Work Experience


Data Science intern Analytics Data Warehouse team, Commercial Aviation Services Boeing, 2014.
  • Experiments with high performance entity, event, and action tagging for short, technical domain texts.

Engineering Intern IP and Device Software group Altera, 2012.
  • Tool to generate simulation models of high speed transceiver blocks to be used in Quartus II.

My LinkedIn page