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cv.Rmd
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cv.Rmd
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---
title: "CV / Resume"
---
Here is my visual resume built using my `VisualResume` R package (see [Visual Resume R Package](VisualResume.html)).
```{r, fig.width = 13, fig.height = 10, echo = FALSE}
VisualResume::VisualResume(
titles.left = c("Nathaniel D. Phillips, PhD.", "R, Data, and Decision Science", "*Built with love in R using the InfoResume package"),
titles.right = c("www.nathanieldphillips.com", "[email protected]", "Full Resume Link: www.ndphillips.github.io/cv.html"),
timeline.labels = c("Education", "Teaching"),
timeline = data.frame(title = c("Grinnell College", "Ohio U", "U of Basel", "MPIB", "U of Konstanz", "U of Basel", "Musician's Friend", "Statistics", "Research Methods", "Information Search", "R", "R", "R", "R"),
sub = c("BA. Student", "MS. Student", "PhD. Student", "PhD. Researcher", "PostDoc", "PostDoc", "Statistician", "OhioU", "OhioU", "Konstanz", "Konstanz", "Konstanz", "Basel", "Basel"),
start = c(2001.5, 2006.5, 2011, 2012, 2014.7, 2016.1, 2005.5, 2009.5, 2010, 2014.8, 2014.8, 2015.4, 2016.1, 2016.7),
end = c(2005.5, 2010.9, 2014.5, 2014.6, 2016, 2018, 2006.5, 2010, 2011, 2015.3, 2015.3, 2015.9, 2016.6, 2018),
side = c(1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0)),
milestones = data.frame(title = c("BA Math", "MS Psych", "Ph.D Psych"),
sub = c("2005", "2010", "2014"),
year = c(2005.5, 2010.9, 2014.5)),
events = data.frame(year = c(2016, 2015, 2014, 2013, 2012),
title = c("Phillips (in prep). YaRrr! The Pirate's Guide to R.\nSelf-published e-book.",
"Hintze et al. (2015). The Janus face of Darwinian competition.\nScientific Reports, 5.",
"Phillips et al. (2014). Rivals in the Dark: How competition influences [...].\nCognition, 113(1), 104-119.",
"Gonzalez-Vallejo et al. (2013). Early positive information impacts final [...].\nJournal of Behavioral Decision Making, 27.",
"Gonzalez-Vallejo & Phillips, N. D. (2012). Predicting soccer matches [...].\nJudgment and Decision Making. 5(3). 200-206.")),
interests = list("programming" = c(rep("R", 20), rep("Python", 1), rep("JavaScript", 2), rep("STAN", 5)),
"statistics" = c(rep("Dec. Trees", 10), rep("Bayesian", 5), rep("Regression", 3)),
"research" = c(rep("Search", 10), rep("Dec Making", 5), rep("Competition", 3), rep("Learning", 8))),
col = "xmen",
trans = .6)
```
# Download
You can download my resume and CV with the following links:
- <a href="resume.pdf#" class="download" title="Download resume as PDF">Download Resume as PDF</a>
# Publications
Phillips, N. D., Neth, H., Woike, J., & Gaissmaier W. (*in press*). FFTrees: An R package to create, visualise, and use fast and frugal decision trees. *Judgment and Decision Making*.
Phillips, N. (2017). YaRrr! The pirate's guide to R. <em>APS Observer, 30.3</em>. <a href="http://ndphillips.github.io/media/phillipsyarrr2017">PDF</a>
Hintze, A., Phillips, N. & Hertwig, R. (2015). The Janus face of Darwinian competition. <em>Scientific Reports, 5. </em><a href="http://ndphillips.github.io/media/hintze2015janus.pdf">PDF</a>
Phillips, N. D.,Hertwig, R., Kareev, Y., & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. <i>Cognition, 133(1), </i>104-119. <a href="http://ndphillips.github.io/media/phillips2014rivals.pdf">PDF</a>
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. <i>Journal of Behavioral Decision Making, 27(3)</i>, 209-225. <a href="http://ndphillips.github.io/media/gonzalez2013early.pdf">PDF</a>
González-Vallejo, C. & Phillips, N. D. (2010). Predicting soccer matches: A reassessment of the benefit of unconscious thinking. <i>Judgment and Decision Making, 5(3), </i>200-206. <a href="http://ndphillips.github.io/media/gonzalez2010soccer.pdf">PDF</a>
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. <i>Psychological Science, 20(6)</i>, 671-675. <a href="http://ndphillips/github.io/media/lassiter2009deliberation.pdf">PDF</a>
# Workshops
Phillips, N. (in prep). R: The solution to (almost) all of your life's problems. Congress for psychology students (psyKo). Schuepfheim, Switzerland.
Phillips, N. (2016). Creating R packages for research documentation. Early career judgment and decision making workshop, Basel, Switzerland. <a href="http://www.rpubs.com/ndphillips/rpackagescience">Link</a>
# Recent Presentations
Phillips, N. (2017). Simplify your life with R: From documenting and sharing data to modeling simple decision strategies. Department of Economics, Zuerich, Switzerland <a href="https://ndphillips.github.io/UZurich-6April2017/">HTML</a>
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 <a href="http://ndphillips.github.io/BaselR">PDF</a>
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. <a href="http://ndphillips.github.io/media/phillips2016BostonFFTrees.pdf">PDF</a>
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. <a href="http://ndphillips.github.io/media/phillips2016Leipzigpak.pdf">PDF</a>
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.