Department Stats Consulting

Catherine is a 4th year PhD candidate in the Affective area and studies political psychology. She also has experience as a research scientist on the Uber Data Science team. She loves statistics and coding! She is happy to help with analyses (especially regression, multilevel modeling, factor analysis, longitudinal/EMA, etc.), data visualization, power analyses, pre-registrations, github and data/project management, etc. She also has some experience with NLP, SEM, ML, and network analysis — though no expert, she is always happy to be a thought partner in figuring out new or challenging problems you are working on.

Shawn is a 5th year PhD candidate in the Neuro area and studies attention, memory, and the physiological and computational mechanisms underlying learning and knowledge expression. He also has experience as a software engineer and research scientist on the Slack Product Design Engineering and Data Science teams. Shawn has been a Stanford Psych Department Stats Consultant for 3 years. He loves building open-source software tools that make data analysis and visualization more intuitive, reproducible, and scalable. Shawn is happy to help with statistical modeling (mixed effects, time-series, and classification), data viz, R/Python/MATLAB/JS scripting, version control (git), Quarto/R Markdown, package dev, power analyses, pre-registrations, and best practices for designing reproducible pipelines/open science in general. He also has extensive experience in ML, NLP, and real-time feedback systems.