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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Joanna Drummond</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="University of Toronto PhD Candidate, Interested in Decision making under uncertainty and preference elicitation.">
<meta name="author" content="Joanna Drummond">
<meta name="keywords" content="Joanna Drummond Computer Science Artificial Intelligence Decision Making Uncertainty Preferences Elicitation">
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<li><a href="index.html">About</a></li>
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<li>PhD Candidate,
<br><a href="http://www.cs.toronto.edu/">University of Toronto</a></li>
<!-- this should go in the big header...
<li class="nav-header">Research Interests</li>
<li>Decision Making under Uncertainty</li>
<li>Preference Elicitation</li>
<li>Multi-agent Systems</li>
<li>Social Choice</li>
<li>Applied Machine Learning</li>
-->
<li class="nav-header">Contact Info</li>
<li>
For all academic inquiries:<br> <!-- only in joannadrummond.com-->
<a href="mailto:jdrummond@cs.toronto.edu">jdrummond@cs.toronto.edu</a>
<!--only in joannadrummond.com-->
For all other inquiries:<br>
<a href="mailto:joanna@joannadrummond.com">joanna@joannadrummond.com</a>
</li>
<li>
Mailing Address:<br>
Dept. of Computer Science<br>
University of Toronto<br>
10 King's College Road, Rm.3302<br>
Toronto, Ontario M5S 3G4 Canada
</li>
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<h2>Academic Bio</h2>
<p>At the <a href="http://www.cs.toronto.edu/">University of Toronto</a> I am currently co-advised by <a href="http://www.cs.toronto.edu/~bor">Allan Borodin</a> and <a href="https://cs.uwaterloo.ca/~klarson/">Kate Larson</a>, and am focusing on computational economics and multi-agent systems problems.
My current research focuses on stable matching with partial preference information. We apply decision theoretic techniques (which have successfully been applied for voting with partial preference information) to this bipartite graph matching problem.
Interesting new problems arise because of this bipartite structure. Currently, we have been focusing on the non-transferrable utility setting, as this is the setting for many important real-world variants of this problem (e.g. the residency matching problem, school assignment problem, etc.).
I received my Masters Spring 2013, with my Masters Thesis focusing on preference elicitation for the stable matching problem. My Masters was advised by <a href="http://www.cs.toronto.edu/~cebly">Craig Boutilier</a>.
After my Masters, I began pursuing my PhD.</p>
<p>My undergraduate research at the <a href="http://www.cs.pitt.edu">University of Pittsburgh</a> primarily focused on applying machine learning techniques to spoken educational data.
I was advised by <a href="http://www.cs.pitt.edu/~litman">Diane Litman</a>, working in the <a href="http://people.cs.pitt.edu/~litman/itspoke.html">ITSPOKE</a> Lab.
I primarily worked on detecting students' affect while using an intellgent spoken physics tutor, using both prosodic and lexical features.
I also investigated the effect of different kinds of training data on these models. </p>
<p>Additionally, as an undergraduate, I participated in the CRA-W's <a href="http://cra-w.org/ArticleDetails/tabid/77/ArticleID/54/Distributed-Research-Experiences-for-Undergraduates-DREU.aspx">DREU</a> program, where I travelled to the Unversity of Southern California's <a href="http://www3.isi.edu/home">Information Sciences Institute</a> to work with <a href="http://www.isi.edu/~jihie/">Jihie Kim</a>. Working with forum data from a computer science class at USC, I performed a statistical corpus study to analyze student posting behaviour, and applied machine learning techniques to automatically categorize student posts.</p>
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