Raphael Geddert

Cognitive and Computational Neuroscience PhD Candidate at Duke University

Teaching and mentoring are a particular passion of mine. I would not be where I am today without the tireless support and encouragement of the mentors in my life now and in the past. Passing on my knowledge to undergraduates and other colleagues is just a small way of paying that forward! Below you will find descriptions of my past and current teaching and mentoring experiences.

Teaching

Teaching Assistant

Department of Psychology & Neuroscience at Duke University

  • (PSY 204L) Research Methods and Statistics for Psychological Science
    • Professor: Greg Samanez-Larkin, Ph.D.
    • Dates: 08/2021 - 12/2021
    • Syllabus:
  • (PSY 205L) Research Methods and Statistics for Psychological Science
    • Professor: Greg Samanez-Larkin, Ph.D.
    • Dates: 01/2022 - 05/2022
    • Syllabus:
  • (PSY 205L) Research Methods and Statistics for Psychological Science
    • Professor: Timothy Strauman, Ph.D.
    • Dates: 08/2022 - 12/2022
    • Syllabus:

Student reviews from recent TAships:

Student Review Highlights:
“Raphael was an amazing TA. He explained concepts from lecture really clearly, and was great at answering any questions that people had. He also made section engaging and interesting, and I definitely felt like section helped my performance in other parts of the course, which I don’t always feel with all classes with section components.”

“Raphael was a great teaching assistant! He was always very positive and enthusiastic in our discussion section. Furthermore, he did a great job of further explaining some of the more challenging or confusing topics to help us understand and would answer any and all of our questions.”

Python Programming Instructor

CNRI (Cognitive Neuroscience Research Internship) is a graduate student run undergraduate internship through the Duke Center for Cognitive Neuroscience. As Python instructor, I create Python lesson plans, teach classes, and help students design and implement their own psychology experiments in the popular experiment package PsychoPy.

  • Cognitive Neuroscience Research Internship Programming
    • Dates: 01/2022 - 05/2022 | 08/2022 - 12/2022
    • Content:
      • Introductory Python (data types, functions, control flow, classes)
      • User testing and debugging
      • Experimental design
      • Environments: Google Colab, Anaconda, Jupyter Notebook, Spyder
      • Packages: Numpy, Pandas, PsychoPy
    • Syllabus:

Duke Institute for Brain Science Methods Meetings

Duke Institute for Brain Science Methods Meetings is a graduate student-run weekly journal club where students lead interactive tutorials and workshops on a variety of computational, statistical, or technical neuroscience methods, from tutorial on implementing hidden markov models to neural networks to multivariate pattern analysis. See the DIBS Methods website.

  • DIBS Methods Tutorials (led by me):
    • Experimental Design with Javascript (04/29/2022)
    • Introduction to HTML, CSS, and Javascript (04/15/2022)
    • Data Collection with Qualtrics (10/29/2021)
    • Paper on Bayesian Option Stopping (03/5/2021)
    • Reinforcement Learning Modeling (11/20/2020)

Undergraduate Teaching Assistant

Department of Psychology at University of California, Davis

  • (PSC 001) Introduction to Psychology
    • Professor: Steve Luck, Ph.D.
    • Dates: 01/2017 - 04/2017

Mentoring

Previous and current mentees:

  • Brooke Sevchik, Undergrad, Duke University
  • Jessica Shoemaker, Undergrad, Duke University
  • Aaron Halvorsen, Graduate Student, Duke University
  • Numerous undergraduate RAs in the Solomon Lab (Post-Bacc, 2017-2019)
  • Numerous undergraduate RAs in the Luck Lab (Undergrad, 2016-2017)