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«Education Ph.D. in Quantitative Psychology, The Ohio State University, 2008-11 Advisor: Trisha Van Zandt Master of Applied Statistics, The Ohio State ...»

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Brandon M. Turner

Assistant Professor

Department of Psychology

The Ohio State University

turner.826@gmail.com

(417) 619-0957

Education

Ph.D. in Quantitative Psychology, The Ohio State University, 2008-11

Advisor: Trisha Van Zandt

Master of Applied Statistics, The Ohio State University, 2008-11

Master of Arts in Quantitative Psychology, The Ohio State University, 2008-09

Bachelor of Science in Psychology, Cum Laude, Missouri State University, 2004-08

Bachelor of Science in Mathematics, Cum Laude, Missouri State University, 2004-08 Minor in Computer Science.

Employment Assistant Professor September 2014 to present The Ohio State University Assistant professor in the cognitive area of the psychology department. Responsible for mentoring students, teaching courses, servicing the university, and conducting scholarly research.

Fellow in the Center for Mind, Brain and Computation September 2012 to September 2014 Stanford University Responsible for helping to organize the colloquium series offered by the Center for Mind, Brain and Computation. As part of the fellowship, I teach one course per year on using Bayesian statistics for computational cognitive models.

Postdoctoral Fellowship September 2012 to September 2014 Stanford University Primary Advisor: James McClelland The primary goal of the fellowship is to further extend likelihood-free methods of Bayesian inference to general, hierarchical, and nonparametric settings for complex, stochastic models of decision making in neuroscience.

Postdoctoral Researcher September 2011 to September 2012 University of California, Irvine Primary Advisor: Mark Steyvers Secondary Advisors: Michael Lee, Bill Batchelder We investigated novel approaches for aggregating forecasting judgments across experts in the intelligence community. This was a collaborative effort with six other universities and a defense contractor.

Statistical Consultant August 2009 to June 2011 The Ohio State University Statistical consultant for the psychology department, primary duties included applying item response theory to Psychology 100 examinations, interpreting the results, and helping to improve the measurement quality of the exams.

Graduate Teaching Associate August 2008 to June 2011 The Ohio State University Preparation and presentation of lectures, preparing syllabi, preparing homework, supervision of group work, grading homework, tests and quizzes. Psychology 321 is an undergraduate course whereas Psychology

–  –  –

Professional Memberships

• Member of the American Psychological Association

• Member of the Cognitive Science Society

• Member of the International Society for Bayesian Analysis

• Member of the Psychometric Society

• Member of the Society for Mathematical Psychology

• Member of the Society for Neuroscience

Professional Service

• Ad Hoc Journal Reviewer for Cognition, Cognitive Psychology,eLife, Journal of Mathematical Psychology, Journal of Memory and Language, Journal of Personality Assessment, NeuroImage, PLOS Computational Biology, PLOS ONE, Psychological Methods, Psychological Review, Psychonomic Bulletin and Review, Psychophysiology, and SAGE Open.

• Organizing Committee: Symposium on Innovative Bayesian Methodology at the 2012 Meeting of the Society for Mathematical Psychology

• Organizer: Symposium on Jointly Modeling Behavioral and Neural Measures of Cognition at the 2013 Meeting of the Society for Mathematical Psychology

• Organizer (joint with Andrew Heathcote and Scott Brown): Workshop on Estimating Parameters of Accumulator Models at the Annual Meeting for the Cognitive Science Society.

• Guest Editor (joint with Thomas Palmeri and Bradley Love): Special Issue entitled “Integrating Neural and Behavioral Measures of Cognition” at the Journal of Mathematical Psychology

• Organizer (joint with Andrew Heathcote, Scott Brown, Dora Matzke, Marc Howard, Guy Hawkins, and Maxim Bushmakin): Training Grant for a four day workshop on Bayesian Estimation of Evidence Accumulation Architectures in Neuroscience and Cognition, to be held at Psychonomics, 2016.

Awards and Honors

• William K. Estes Early Career Award, Society for Mathematical Psychology (July, 2016)

• R. Duncan Luce best paper award 2011-13, Society for Mathematical Psychology (July, 2014)

• Ruth L. Kirschstein National Research Service Award (NRSA), NIH (June, 2012)

• Psychometrika Dissertation Award, Psychometric Society (June, 2012)

• Bennet B. Murdock Award, CEMS (August, 2011)

• Graduate Student Research Excellence Award, The Ohio State University (May, 2011)

• Institute for Perception Award (March, 2011)

• Student Travel Award, Society for Mathematical Psychology (2009, 2010, 2011)

• Arbuckle Leadership Award, Missouri State University (May, 2008)

• Maxwell Research Award, Missouri State University (May, 2008)

• Top Paper Award, Kappa Mu Epsilon Honor Society (March, 2008)

• Top Poster Award, Great Plains Psychology Conference (October, 2007) Invited Talks Likelihood-free Bayesian Modeling: Applications in Cognitive Science. Presented at Neural Information Processing Systems Conference. Montreal, Quebec. December, 2015.





Integrating Neural and Behavioral Measures of Cognition. Presented at the Princeton Neuroscience Institute. Princeton University. August, 2015.

Integrating Neural and Behavioral Measures of Cognition. Presented at the University of Amsterdam’s Summer School on Model-based Cognitive Neuroscience. Amsterdam, The Netherlands.

June, 2015.

Extensions of a dynamic, stimulus-driven model of signal detection: Response times, confidence judgments, and multi-alternative choice. Presented at the Bay Area Cognitive Science Conference.

University of California, Berkeley. December, 2013.

Constraining cognitive abstractions through Bayesian modeling and neuroscience. Presented as part of a workshop on Interfacing Models with Brain Signals to Investigate Cognition at the University of California, Irvine. November, 2013.

Integrating neuroscience and cognitive modeling. Presented at a team meeting for the Deep Brain Stimulation Neurosurgery Group at The Ohio State University, Columbus, Ohio. October, 2013.

Constraining cognitive abstractions through Bayesian modeling and neuroscience. Presented as part of a seminar for the University of Amsterdam, Netherlands. July 2013.

ABCDE: A practical, likelihood-free Bayesian analysis technique with applications to computational models of memory and decision-making. Presented as a CARMA colloquium in the School of Mathematical and Physical Science, Newcastle, Australia. October, 2012.

Likelihood-free Bayesian modeling and the case of the cue overload principle. Presented as part of a weekly seminar in the Psychology Department, Newcastle, Australia. October, 2012.

Likelihood-free Bayesian modeling. Presented as the recipient of the Psychometrika Dissertation Award at the 77th Annual International Meeting of the Psychometric Society, Lincoln, Nebraska.

July, 2012.

ABCDE: A practical, likelihood-free Bayesian analysis technique with applications to computational models of memory and decision-making. Presented as the recipient of the Bennet B. Murdock Award at the 8th Annual Context and Episodic Memory Symposium, Bloomington, Indiana. May, 2012.

The evolution of approximate Bayesian computation. Presented as part of a weekly seminar for the Artificial Intelligence and Machine Learning Group, University of California, Irvine. February, 2012.

Peer Reviewed Journal Publications Turner, B. M., Forstmann, B. U., Love, B., Palmeri, T. J., and Van Maanen, L. (in press) Structures for analysis in model-based cognitive neuroscience. In press at Journal of Mathematical Psychology.

Turner, B. M., Rodriguez, C. A., Norcia, T., McClure, S. M., and Steyvers, M. (in press). Why more is better: Simultaneous modeling of EEG, fMRI and behavioral data. In press at NeuroImage.

Turner, B. M., Sederberg, P. B., and McClelland, J. L. (in press). Bayesian analysis of simulationbased models. In press at Journal of Mathematical Psychology.

Rodriguez, C. A., Turner, B. M., Van Zandt, T., and McClure, S. M. (2015). The neural basis of discounted-value accumulation. European Journal of Neuroscience. 1-11.

Turner, B. M., van Maanen, L., and Forstmann, B. U. (2015). Informing cognitive abstractions through neuroimaging: The Neural Drift Diffusion Model. Psychological Review. 122, 312-336.

Van Maanen, L., Turner, B. M., and Forstmann, B. U. (2015). From model-based perceptual decision-making to spatial interference control. Current Opinion in Behavioral Sciences. 1, 72-77.

Djulbegovic, B. H., Beckstead, J., Reljic, T., Hozo, I., Kumar, A., Cannon-Bowers, J., Taylor, S., Tsalatsanis, A., Turner, B. M., and Paidas, C. (2014). Evaluation of physicians’ cognitive styles.

Medical Decision Making. 34, 627-637.

Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., Forstmann, B. U. (2014).

When the brain takes a break: A model-based analysis of mind wandering. Journal of Neuroscience.

34, 16286-16295.

Rodriguez, C. A., Turner, B. M., and McClure, S. M. (2014). Intertemporal choice as discounted value accumulation. PLoS ONE. 9, e90138.

Steyvers, M., Merkle, E. C., Wallsten, T. S., and Turner, B. M. (2014). Evaluating probabilistic forecasts with Bayesian signal detection models. Risk Analysis. 34, 435 – 452.

Turner, B. M., and Sederberg, P. B. (2014). A generalized, likelihood-free method for posterior estimation. Psychonomic Bulletin and Review. 21, 227-250.

Turner, B. M., Steyvers, M., Merkle, E. C., Budescu, D. V., and Wallsten, T. S. (2014). Forecast aggregation via re-calibration. Machine Learning. 95, 261-289.

Turner, B. M., and Van Zandt, T. (2014). Hierarchical approximate Bayesian computation. Psychometrika. 79, 185-209.

Turner, B. M., Dennis, S. and Van Zandt, T. (2013). Likelihood-free Bayesian analysis of memory models. Psychological Review. 120, 667-678.

Turner, B. M., Forstmann, B. U., Wagenmakers, E.-J., Brown, S. D., Sederberg, P. B., and Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage. 72, 193-206.

Turner, B. M., Sederberg, P. B., Brown, S. D., and Steyvers, M. (2013). A method for efficiently sampling from distributions with correlated dimensions. Psychological Methods. 18, 368-384.

Turner, B. M., Rim, H., Betz, N. and Nygren, T. (2012). The maximization inventory. Judgment and Decision Making. 7, 48-60.

Turner, B. M., and Sederberg, P. B. (2012). Approximate Bayesian computation with differential evolution. Journal of Mathematical Psychology. 56, 375-385.

Turner, B. M., and Van Zandt, T. (2012). A tutorial on approximate Bayesian computation. Journal of Mathematical Psychology. 56, 69-85.

Betz, N. E., and Turner, B. M. (2011). Using item response theory and adaptive testing in online career assessment. Journal of Career Assessment. 19, 274-286.

Rim, H. B., Turner, B. M., Betz, N. and Nygren, T. (2011). Studies of the dimensionality, correlates, and meaning of measures of the maximizing tendency. Judgment and Decision Making. 6, 565-579.

Turner, B. M., Van Zandt, T., and Brown, S. (2011). A dynamic, stimulus-driven model of signal detection. Psychological Review. 118, 583-613.

Turner, B. M., Betz, N. E., Edwards, M. C., and Borgen, F. H. (2010). Psychometric examination of an inventory of self-efficacy for the Holland vocational themes using item response theory.

Measurement and Evaluation in Counseling and Development. 43, 188-198.

Turner, B. M. (2009). The mathematical process of classification. The Pentagon. 68, 5-16.

Book Chapters Turner, B. M. (2015). Constraining cognitive abstractions through Bayesian modeling. In Forstmann,

B. U. & Wagenmakers, E.-J. (Eds.), An introduction to model-based cognitive neuroscience. Springer:

New York.

Manuscripts in Progress Miletic, S., Turner, B. M., Forstmann, B. U., and Van Maanen, L. (submitted). Parameter recovery for the Leaky, Competing Accumulator Model.

Turner, B. M., Gao, J., Koenig, S., Palfy, D., and McClelland, J. L. (submitted). The averaging diffusion model: A model of the perceptual time course of multimodal integration.

Turner, B. M., and Schley, D. (submitted). An integrative model of judgmental anchoring.

Peer Reviewed Conference Papers NOTE: Presenter in boldface type.

Turner, B. M. and Steyvers, M. A wisdom of the crowd approach to forecasting. Workshop presentation at the 25th Annual Conference of Neural Information Processing Systems, Grenada, Spain, December, 2011 Published Abstracts, Posters and Presentations NOTE: Presenter in boldface type.

Turner, B. M., Van Maanen, L. Forstmann, B. U. Integrating Cognitive Abstractions with Neurophysiology: The Neural Drift Diffusion Model. Presented at the 48th Annual Meeting of the Society for Mathematical Psychology, Newport Beach, California, August, 2015.

Rodriguez, C. A., Turner, B. M., Norcia, A. M., Cohen, M. X., & McClure, S. M. Discounted value accumulation in dorsomedial prefrontal cortex. Poster presented at the Society for Neuroeconomics Annual Meeting, Laussane, Switzerland, October, 2013.

Turner, B. M., Forstmann, B. U., Wagenmakers, E.-J., Brown, S. D., Sederberg, P. B., and Steyvers, M. A Bayesian framework for simultaneously modeling neural and behavioral measures.

Presented at the 46th Annual Meeting of the Society for Mathematical Psychology, Potsdam, Germany, August, 2013.

Turner, B. M., Sederberg, P. B., and McClelland, J. L. Likelihood-free Bayesian analysis of neural network models. Poster presented at the 21st Annual Meeting of the Organization for Computational Neurosciences, Paris, France, July, 2013.

Turner, B. M., and Steyvers, M. A Bayesian framework for simultaneously modeling neural and behavioral measures. Poster presented at the 43rd Annual Meeting for the Society for Neuroscience, San Diego, California, November, 2013.

Turner, B. M., van Maanen, L., and Forstmann, B. U. A mechanistic account of the default mode network. Presented at the 12th Annual Meeting of the Annual Summer Interdisciplinary Conference, Cortina d’Ampezzo, Italy, July, 2013.



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