Michael Frank
Symbolic Systems Director at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolMichael Frank is a developmental psychologist and cognitive scientist with 12 years of academic experience, directing Stanford’s Symbolic Systems program and serving as the David and Lucile Packard Professor of Human Biology. He studies how children learn language and social cognition, combining behavioral methods (eye-tracking, tablet experiments) with computational modeling and large-scale, data-oriented resources such as Wordbank and MetaLab. His lab champions open science, reproducibility, and creation of reusable datasets that accelerate replication and cross-lab synthesis. Based in Palo Alto, he blends rigorous experimental work with scalable data infrastructures, making developmental questions tractable at population scale.
13 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences, Doctor of Philosophy (Ph.D.), Brain and Cognitive Sciences at Massachusetts Institute of TechnologyBachelor of Science (BS), Symbolic Systems, Bachelor of Science (BS), Symbolic Systems at Stanford University
Github Skills (79)
journal10
r-package10
vocabulary10
meta-analysis10
r9
shiny9
python9
meta9
reproducible-research9
psychology9
rmarkdown9
quarto8
statistics8
validation8
shiny-apps8
Programming languages (11)
Github contributions (5)
mcfrank/rules
Dec 2013 - Mar 2015
Contributions:15 commits, 1 push in 1 year 3 months
langcog/EPAQ
Aug 2017 - Mar 2022
Contributions:21 commits, 23 pushes, 1 branch in 4 years 7 months
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