I am a computer science Ph.D. candidate working on applications of neural networks to automated essay scoring. By day I am a research scientist at Pearson Knowledge Technologies, where I investigate and develop methods for assessing human writing.
My academic and industry work combines diverse techniques from education,
natural language processing, and machine learning. The core question
I pursue is pedagogical: how do we help students write better using
technology? This implies other questions, such as:
- What makes good writing good?
- How do human raters assess writing?
- How well do human raters assess writing?
- How do we identify students who are struggling?
- Deep Learning
- Representation Learning
- Dimensionality Reduction
- Feature Selection
- Automated Essay Assessment
- Distributional Semantics
- Information Retrieval
- Growth Modeling
- Return probability and k-step measures, Nicholas Dronen and Qin Lv, arXiv:1105.4479v1
- Exploring the power of Automated Writing Evaluation for innovation in formative assessment practices, American Educational Research Association, 2014 (Abstract accepted)
LISA Lab, University of Montreal
Computational & Biological Learning Laboratory, New York University
Machine Learning, University of Toronto