Core Lab Members:
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Michael N. Jones, Ph.D., Lab Director [CV]
Mike completed his graduate work at Queen's University in Canada under the supervision of Doug Mewhort, and then spent two years as a postdoctoral research fellow at the Institute of Cognitive Science, University of Colorado with Walter Kintsch and Tom Landauer. In 2006, he moved to Indiana University where he currently holds the William and Katherine Estes Endowed Chair in the Department of Psychological and Brain Sciences. Mike's research can be broadly defined as computational approaches to human language and memory, and artificial intelligent systems. |
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Erik Weitnauer, Ph.D., Postdoc
Erik completed his Ph.D. in Cognitive Interaction Technology at the University of Bielefeld in 2013. He is interested in the role of perception and spatial reasoning in learning and using symbolic notations such as in mathematics, and in artificial intelligence approaches to optimal learning. He is leading the lab's part of a large IES-funded collaborative project with the Karpicke Lab at Purdue to develop an AI-based guided retrieval system to optimize retention of text learning in elementary classrooms. |
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Johnathan Avery, B.A., Graduate Student (Cognitive Science)
Jack completed his undergraduate work at the University of Nebraska. His primary research interests are in developing computational models to understand how humans integrate perceptual and linguistic information during learning. He is also interested in how humans search memory in strategic tasks, and the development of systems to assist in memory encoding and retrieval. |
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Willa Mannering, B.A.,B.Sc., Graduate Student (Cognitive Science)
Willa completed her undergraduate degrees in Cognitive Science and Computing Science at IU, and began in the PhD program in 2018. Willa's general interests are in decision making and evaluating computational models of human learning and memory, with particular emphasis on real-world applications of cognitive models. |
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Prudhvi Raj Dachapally, B.Sc.,M.Sc., Research Scientist
Prudhvi Raj completed his undergraduate degree in Computer Science and Engineering from GITAM University, India, and his Master's degree in Data Science at IU. His primary interests include machine learning and its application across various domains. His current projects include facial emotion detection using representational autoencoder vectors, a question classification system using convolutional neural networks, and extracting informative keywords from documents using semantic analysis techniques. He is also leading a project to develop interference-insulated deep neural networks for dynamic learning. |
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Keiland Cooper, Undergraduate Research Assistant
Keiland is pursuing his undergraduate degree in Cognitive Science and Neuroscience at IU with a minor in Computing Science. He is generally interested in how memory emerges from circuits in the brain, and in artificial intelligence approaches to understand and compliment human intelligence. In the lab he is working on modeling projects to better understand how deep learning models may be integrated with cognitive process models to simulate different kinds of semantic relations dependent on task context. |
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Tom Gruenenfelder, Ph.D., Research Scientist
Tom is an Adjunct Professor and in the Department of Psychological & Brain Sciences and a Research Scientist in David Pisoni's Speech Research Laboratory (SRL). He has been leading projects joining SRL and CCL in understanding the statistical properties of the mental lexicon, reverse engineering semantic structure from converging behavioral data, and understanding the relationship between auditory and visual word recognition. |
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Lauren Jones, Experiment Tester
Lauren is interested in statistical language learning and perceptual integration from a first-person perspective. We are attempting to reverse-engineer her to make machines that are as smart, but hopefully listen a tad better. To date, she is the most biologically plausible neural network Dr. Jones has ever programmed. How exactly she works is still somewhat of a mystery though. |
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Kiley Jones, Experiment Tester
Kiley is the beta version of the Lauren model |
Lab Alumni
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Melody Dye, Ph.D.
CCL Lab Graduate Student, 2011-2017 Current Position: Postdoctoral Fellow, UC, Berkeley |
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Fatemeh Torabi Asr, Ph.D.
CCL Lab Postdoc, 2015-2017 Current Position: Postdoc, Simon Fraser University |
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Jon Willits, Ph.D.
CCL Lab Postdoc, 2012-2015 Current Position: Assistant Professor of Psychology, University of California, Riverside |
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Jessica Montag, Ph.D.
CCL Lab Postdoc, 2013-2015 Current Position: Assistant Research Scientist, University of California, Riverside |
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Brent Kievit-Kylar, Ph.D. 2014
CCL Graduate student and Postdoc, 2010-2015 Current Position: Head of Image Search Analytics, Google Inc. |
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Cotie Long, B.Sc. 2015
CCL Research Associate, 2012-2015 Current Position: Software Engineer at IBM Cloud |
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Greg Cox, Ph.D. 2014
CCL PhD Student (Joint w/ Rich Shiffrin's MAPLab), 2009-2014 Current Position: Postdoc w/ Amy Criss at University of Syracuse |
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Sean Matthews, Ph.D. 2015
CCL PhD Student, 2008-2015 Current Position: Data Scientist, Thomson Reuters |
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Brendan Johns, Ph.D. 2012
CCL PhD Student, 2007-2012 Current Position: Assistant Professor, University at Buffalo (SUNY) |
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Gabriel Recchia, Ph.D. 2012
CCL PhD Student, 2007-2012 Current Position: Research Scientist, University of Cambridge |
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Brian Riordan, Ph.D. 2009
CCL Grad Student and Postdoc, 2006-2009 Current Position: Research Scientist, Educational Testing Service |
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Vanessa Taler, Ph.D.
CCL Postdoc, 2007-2009 Current Position: Professor of Psychology at the University of Ottawa |
Collaborators:
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Jeff Karpicke, Purdue University
Peter Todd, Indiana University Ken McRae, University of Western Ontario Thomas Hills, University of Warwick Linda Smith, Indiana University Walter Kintsch, CU-Boulder Doug Mewhort, Queen's University |
Rich Shiffrin, Indiana University
Tal Yarkoni, University of Texas at Austin Randy Jamieson, University of Manitoba Pentti Kanerva, UC Berkeley Mike Mozer, CU-Boulder Vanessa Taler, University of Ottawa Brendan Johns, University of Buffalo |
