Mika Braginsky

Pronouns: they/them


I’m a software developer at the Language and Cognition Lab at Stanford University. I work on tools and resources for data sharing and other open science practices.

Previously, I was a postdoctoral scholar at the Quantitative Sciences Unit at Stanford University, where I worked with Maya Mathur on tools for reducing bias in meta-analysis and on studies of interventions for reducing meat consumption.

Before that I got my PhD in Brain and Cognitive Sciences at MIT, where I studied how kids learn words and word structure. I was advised by Ted Gibson and also collaborated extensively with Mike Frank, Virginia Marchman, Tim O’Donnell, and Roger Levy.



R package development

Workshop at Stanford Libraries (February 2023)

Tools for fitting generalized linear mixed-effects models in Julia from R

Research Methods Seminar at Stanford (October 2022)

Laboratory in Psycholinguistics

with Ted Gibson

Course at MIT (Spring 2018, 2019, 2020, 2021)

Large-scale data tools in language acquisition

Workshop at LSA Summer Institute (July 2019)



with Alvin Tan, Anjie Cao

R package for fitting generalized linear mixed effects models in Julia


with Maya Mathur, Leon King Tran

R package for estimating moments for a truncated normal distribution


R package for making plots of data with categorical independent variables


R package for doing tidyverse-compatible bootstrapping


R interface to the WebPPL probabilistic programming language