Here is my visual resume built using my VisualResume R package (see Visual Resume R Package).

Education

My educational background is in mathematical statistics and experimental psychology with an emphasis on cognition and decision-making. I obtained a B.A. in Mathematics from Grinnell College, a M.S. in Experimental Psychology from Ohio University, and a PhD in Experimental Psychology from the University of Basel.

Research Philosophy

I am a cognitive scientist interested in decisions under uncertainty, with a focus on information search, impression formation, and decision making. I am passionate about R, open science, reproducible research, and Bayesian statistical methods.

Publications

I have published research on unconscious decision making and decision making under competition. I am also self-publishing an introductory e-book on R titled YaRrr! The Pirate’s Guide to R. For more information about my past, and future publications, view my CV.

Presentations

I have given several talks and workshops on decision making and R at international societies such as the Society for Judgment and Decision Making, the Society for Mathematical Psychology, and the Max Planck Institute for Human Development. I am available for future talks by request.

Workshops

I conduct statistical programming workshops in R, ranging anywhere from 2 hours, to 3 full days. These workshops are designed to give people with little to no programming experience the tools they need to conduct replicable data analyses and create elegant research reports using R. Please contact me if you would like to arrange an on-site workshop.

Teaching

I have tought courses and supervised theses in judgment and decision making, research design, statistics, and R programming at universities such as the University of Basel and University of Konstanz. You can find an example of my course syllabi here

Interviews / Press

Resume

You can download my resume and CV with the following links:

Publications

Phillips, N. D., Neth, H., Woike, J., & Gaissmaier W. (under review). FFTrees: An R package to create, visualise, and use fast and frugal decision trees.

Phillips, N. (2017). YaRrr! The pirate’s guide to R. APS Observer, 30.3. PDF

Hintze, A., Phillips, N. & Hertwig, R. (2015). The Janus face of Darwinian competition. Scientific Reports, 5. PDF

Phillips, N. D.,Hertwig, R., Kareev, Y., & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. Cognition, 133(1), 104-119. PDF

González Vallejo, C., Cheng, J., Phillips, N. D., Chimeli, J., Bellezza, F., Harman, J., & Lindberg, M. J. (2013). Early Positive Information Impacts Final Evaluations: No Deliberation‐Without‐Attention Effect and a Test of a Dynamic Judgment Model. Journal of Behavioral Decision Making, 27(3), 209-225. PDF

González-Vallejo, C. & Phillips, N. D. (2010). Predicting soccer matches: A reassessment of the benefit of unconscious thinking. Judgment and Decision Making, 5(3), 200-206. PDF

Lassiter, G. D., Lindberg, M. J, Gonzalez-Vallejo, C., Bellezza, F. S., & Phillips, N. D. (2009). The deliberation-without-attention effect: Evidence for an artifactual interpretation. Psychological Science, 20(6), 671-675. PDF

Recent Workshops

Phillips, N. (2017). R: The solution to your wildest data dreams. Congress for psychology students (psyKo). Schuepfheim, Switzerland. HTML

Phillips, N. (2016). Creating R packages for research documentation. Early career judgment and decision making workshop, Basel, Switzerland. HTML

Recent Presentations

Phillips, N. (2017). FFTrees: Creating, visualizing, and implementing fast and frugal decision trees. PWC, Zuerich, Switzerland HTML

Phillips, N. (2017). Simplify your life with R: From documenting and sharing data to modeling simple decision strategies. Department of Economics, Zuerich, Switzerland HTML

Phillips, N. (2017). ShinyPsych: Writing psychology experiments with R and Shiny. Research Colloquium, Basel, Switzerland HTML

Phillips, N., Neth, H,. Woike, J., & Gaissmaeier, W. (2017). FFTrees: An R package to create and visualise fast and frugal decision trees. BaselR, Basel, Switzerland HTML

Phillips, N., Neth, H,. Woike, J., & Gaissmaeier, W. (2016). FFTrees: An R package to create and visualise fast and frugal decision trees. Annual meeting of the society for Judgment and Decision Making, Boston, MA. PDF

Phillips, N., Neth, H., Gaissmaeier, W., Navarro, D., Newell, B. & Rieskamp, J. (2016). Peeks and Keeps: Optional risk reinforcement learning. Annual meeting for the Deutschen Gesellschaft fuer Psychologie. Leipzig, Germany. PDF

Phillips, N., Neth, H., Gaissmaeier, W., Navarro, D., Newell, B. & Rieskamp, J. (2016). Peeks and Keeps: Optional risk decisions from experience. Annual meeting for the Society for Mathematical Psychology, New Brunswick, NJ.