Curriculum Vitae

Education

• Ph.D (Psychology), UNSW Sydney, 2012
• B. Psychology, UNSW Sydney, 2008

Employment

• Senior Data Scientist
  • May 2018 - Present
  • Cluey Learning, Sydney, Australia
• Research Scientist
  • March 2015 - February 2018
  • Perception and Action Lab
  • Lab Director: A/Prof Joo-Hyun Song
  • Brown University, RI, USA
• Research Scientist
  • July 2012 - December 2014
  • Knowledge, Information, and Learning Lab
  • Lab Director: A/Prof Daniel R. Little
  • University of Melbourne, Australia
• Casual Academic
  • March 2008 - June 2012
  • Department of Psychology
  • UNSW Sydney, Australia

Skills

• Data Science
  • Statistical Analyses
  • Machine Learning
  • Computational and Mathematical Modelling
  • Quantitative Research
  • Data Visualisation
• Software Development
  • Python
  • SQL
  • AWS
  • Hadoop/Spark
  • MATLAB
  • R
• Leadership and Management
  • Project Management
  • Agile Development
  • Designing Roadmaps

Publications

Attention and relative novelty in human perceptual learning

Wang, T., & Mitchell, C. J. (2011). Attention and relative novelty in human perceptual learning. Journal of Experimental Psychology: Animal Behavior Processes, 37(4), 436–445.

Location and salience of unique features in human perceptual learning

Wang, T., Lavis, Y., Hall, G., & Mitchell, C. J. (2012). Location and salience of unique features in human perceptual learning. Journal of Experimental Psychology: Animal Behavior Processes, 38(4), 407–418.

Logical-rules and the classification of integral dimensions: individual differences in the processing of arbitrary dimensions

Blunden, A. G., Wang, T., Griffiths, D. W., & Little, D. R. (2014). Logical-rules and the classification of integral dimensions: individual differences in the processing of arbitrary dimensions. Frontiers in Psychology, 5, 1531.

Understanding the influence of distractors on workload capacity

Little, D. R., Eidels., A., Fific, M. & Wang, T. (2015) Understanding the influence of distracters on workload capacity. Journal of Mathematical Psychology. 68-69, 25-36.

The processing architectures of whole-object features: A logical-rules approach

Moneer, S., Wang, T., & Little, D. R. (2016). The processing architectures of whole-object features: A logical-rules approach. Journal of Experimental Psychology: Human Perception and Performance, 42(9), 1443–1465.

Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm

Little, D. R., Wang, T., & Nosofsky, R.M. (2016). Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm. Cognitive Psychology, 89, 1-38.

Global Cue Inconsistency Diminishes Learning of Cue Validity

Wang T. S. L., Christie, N., Howe, P.L., & Little, D. R. (2016) Global cue inconsistency diminishes learning of cue validity. Frontiers in Psychology. 7, 1743

Impaired visuomotor generalization by inconsistent attentional contexts

Wang, T.S.L. & Song, J-H. (2017). Impaired visuomotor generalization by inconsistent attentional contexts. Journal of Neurophysiology. 118(3). 1709-1719

How Do Information Processing Systems Deal with Conflicting Information? Differential Predictions for Serial, Parallel, and Coactive Models

Little, D. R., Eidels., A., Fific, M. & Wang, T.S.L. (2018). How Do Information Processing Systems Deal with Conflicting Information? Differential Predictions for Serial, Parallel, and Coactive Models. Computational Brain & Behavior, 1, 1–21.

Composite faces are not (necessarily) processed coactively: A test using systems factorial technology and logical-rule models

Cheng, X. J., McCarthy, C. J., Wang, T. S. L., Palmeri, T. J., & Little, D. R. (2018). Composite faces are not (necessarily) processed coactively: A test using systems factorial technology and logical-rule models. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(6), 833–862.

Service and leadership

• UNSW Sydney Science Industry Mentor
• Psychonomic Society Member