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		<title>C.D. Bonn</title>
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					<h2>Cory D. Bonn</h2>
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						Data Scientist<br>
						<a href="https://www.strong.io/">Strong Analytics</a><br>
						<a href="https://github.com/corydbonn"><i class="github icon"></i>Github</a> | <a href="https://twitter.com/corydbonn"><i class="twitter icon"></i>Twitter</a> | <a href="images/Bonn_CV_forweb.pdf"><i class="history icon"></i>CV</a><br>
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					<text>
						As a data scientist, I deploy a variety of modeling techniques to make predictions about human behavior. As a cognitive scientist, I'm broadly interested in how humans represent environmental statistics and causal structures and in finding ways to better analyze the data humans generate.
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						<h2>NEWS</h2>
						<h3>2020</h3>
						<text><span class="dat">April, 2020.</span> Left academia for a position in data science consulting in Chicago.</text>
						<h3>2019</h3>
						<text><span class="dat">Oct. 1, 2019.</span> Paper on newborns's association of brightness with number/duration out in <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223192">PLOS ONE</a>.</text><br><br>
						<text><span class="dat">May 19, 2019.</span> Gave talk at VSS on adaptation of number judgments with low-level features.</text><br><br>
						<text><span class="dat">May 1, 2019.</span> Began project funded by the <a href="https://dsi.ubc.ca/">UBC Data Science Institute</a>, entitled "Quantifying individual differences from complex datasets in developmental psychology."</text>
						<h3>2018</h3>
						<text><span class="dat">April 8-9.</span> Talk given on cross-dimensional ratio and rank processing at the 1st Mathematical Cognition and Learning Society Conference in Oxford, UK.</text><br><br>
						<text><span class="dat">Jan. 1.</span> Started post-doc at UBC Psychology.</text>
						<h3>2017</h3>
						<text><span class="dat">May 4-7.</span> Poster entitled "Dot-size variance reduces biases in numerical discrimination and estimation tasks" at CAOS 2017 in Rovereto, IT.</text>
						<h3>2016</h3>
						<text><span class="dat">Sept. 28-30.</span> Presented poster entitled "Sources of uncertainty in the approximate number system" at the Domain-General and Domain-Specific Foundations of Numerical and Arithmetic Processing Workshop in T&uuml;bingen, Germany.</text><br><br>
						<text><span class="dat">Feb. 16.</span> NEW WEBSITE!</text><br><br>
						<text><span class="dat">Jan. 1.</span> Started post-doc at LPP studying factors that affect noise levels in the infant and adult approximate number system.</text>
						<h3>2015</h3>
						<text><span class="dat">Dec. 10.</span> Successfully defended PhD thesis entitled <span class="ital">On Theories of Abstract, Quantitative Representation</span>.</text><br><br>
						<text><span class="dat">Sept. 1.</span> Started NSF-GROW/STEM-Chateaubriand predoctoral fellowships in Paris at Laboratoire Psychologie de la Perception, Universit&eacute; Paris Descartes.</text><br><br>
						<text><span class="dat">Aug. 10.</span> Moved out of Rochester, NY.</text><br><br>
						<text><span class="dat">July 1.</span> Awarded Fyssen Foundation Postdoctoral Study Fellowship.</text><br><br>
						<text><span class="dat">June 1.</span> Awarded NSF-GROW Fellowship.</text><br><br>
						<text><span class="dat">May 2.</span> Awarded Embassy of France's STEM-Chateaubriand Fellowship.</text>

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						<h2>BIOGRAPHY</h2>
						<text>I am currently a data scientist working in Chicago, IL. I was formerly a post-doc at the Centre for Cognitive Development, University of British Columbia, working with Darko Odic in the Early Development Group and with UBC's Data Science Institute. I did my PhD at the Department of Brain and Cognitive Sciences at the University of Rochester, working with Dick Aslin and Jessica Cantlon and previously did a post-doc in Paris with V&eacute;ronique Izard and Lola de Hevia. In a former life, I was a pianist.</text>
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						<h2>PAPERS</h2>
						<h3>Approximate Number System</h3>
						<text>Bonn, C.D., & Odic, D. (In prep). Adaptation to non-numeric features reveals mechanisms of number perception.</text><br><br>
						<text>Bonn, C.D., & Izard, V. (In prep). Dot-size variance reduces biases in numerical discrimination and estimation tasks.</text>

						<h3>Abstract Quantity</h3>
						<text>Bonn, C.D., Netskou, M-E., Streri, A., & de Hevia, M.D. (2019). <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223192">The association of brightness with number/duration in human newborns. </a><i>PLOS ONE</i>, <i>14</i>(10), e0223192. <a href="https://doi.org/10.1371/journal.pone.0223192">https://doi.org/10.1371/journal.pone.0223192</a></text><br><br>
						<text>Bonn, C.D., & Cantlon, J.F. (2017). <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636217/">Spontaneous, modality-general abstraction of a ratio scale.</a> <i>Cognition</i>, <i>169</i>, 36-45.  <a href="https://doi.org/10.1016/j.cognition.2017.07.012">https://doi.org/10.1016/j.cognition.2017.07.012</a></text><br><br>
						<text>Bonn, C.D., & Cantlon, J.F. (Under revision). Learning relations between space, time, and number from environmental statistics.</text><br><br>
						<text>Bonn, C.D.</span>, & Cantlon, J.F. (2012). <a href="http://caoslab.bcs.rochester.edu/pdf/Bonn-Cantlon_CN2012.pdf">The origins and structure of quantitative concepts. </a><span class="ital">Cognitive Neuropsychology</span>, <span class="ital">29:1-2</span>, pp. 149-173.</text>

						<h3>Speech Perception and Categorization</h3>
						<text>Mulak, K., Bonn, C.D., Chl&aacute;dkova, K., Aslin, R.N., & Escudero, P. (2017). <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0176762">Indexical and linguistic processing by 12-month-olds: Discrimination of speaker, accent, and vowel differences.</a> <span class="ital">PLOS ONE</span>, <span class="ital">12</span>(5), e0176762.</text><br><br>
						<text>Stasenko, A., Bonn, C., Teghipco, A., Garcea, F.E., Sweet, C., Dombovy, M., McDonough, J., and Mahon, B.Z. (2015). <a href="http://caoslab.bcs.rochester.edu/pdf/StasenkoColleagues_CN_2015.pdf">A causal test of the motor theory of speech perception: a case of impaired speech production and spared speech perception.</a> <span class="ital">Cognitive Neuropsychology</span>, <span class="ital">32</span>, 38-57.</text>

						<h3>Infant Methods</h3>
						<text>Bonn, C.D.</span>, & Aslin, R.N. (In prep). Probability matching in human infants: A demonstration using a novel forced-choice paradigm.</text>

						<h3>Pitch and Music Perception</h3>
						<!--<text>Tramo, M.J., Bonn, C.D., & Braida, L. (In prep). Harmonic-tone processing following bilateral auditory cortex lesions: Pitch direction discrimination with and without energy at F0.</text><br><br>-->
						<text>Siu, J., Bonn, C.D., & Marvin, E.W. (Under Revision). Contributions of native language, spectral envelope, and absolute pitch possession to the perception of octave-ambiguous tritones in tone-language speakers.</text>
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						<h2>CURRENT PROJECTS</h2>
						<h3>DEVELOPMENT OF NUMERICAL COGNITION</h3>
						<text>At the LPP, V&eacute;ronique Izard and I are working on a project in infants and adults that aims to decompose noise sources that contribute to uncertainty in the approximate number system and how those differ across individuals and across different developmental stages.</text>
						<h2>PAST PROJECTS</h2>
						<h3>GENERALIZED MAGNITUDE REPRESENTATIONS</h3>
						<text>Keep your eyes open for my dissertation work, which explored the hypothesis space of generalized magnitude representations. We approached the topic from multiple perspectives, including statistical learning as well as analogical reasoning.</text>
						<h3>INFANT METHODS</h3>
						<text>Dick Aslin and I worked toward developing novel, forced-choice eye-tracking paradigms for use with infants. To be continued. . .</text>
						<h3>SPEECH CATEGORIZATION</h3>
						<text>I'm interested in how infants learn their native speech categories (phonemes) in an unsupervised fashion. To do this, infants need to solve some complex statistical learning and causal inference problems.</text>
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						<h2>CURRENT COLLABORATORS</h2>
						<text>Cristina Conati</text><br>
						<text>Lang Wu</text><br>
						<text>Dick Aslin</text><br>
						<text>Jessica Cantlon</text><br>
						<text>V&eacute;ronique Izard</text><br>
						<text>Lola de Hevia</text>
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						<h2>FUNDING</h2>
						<text>UBC Data Science Institute Postdoctoral Matching Fund.</text><br>
						<text>NSERC Discovery Grant to Darko Odic and UBC Department of Psychology (2018-present)</text><br>
						<text>Fondation Fyssen Postdoctoral Study Grant (2016 - 2017)</text><br>
						<text>Embassy of France STEM-Chateaubriand Fellowship (Fall 2015)</text><br>
						<text>National Science Foundation Graduate Research Opportunities Worldwide (GROW) Fellowship (Fall 2015)</text><br>
						<text>National Science Foundation Graduate Research Fellowship (2011 - 2014)<text><br>
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