Ángel De La Garza
Assistant Professor at Albert Einstein College of Medicine
New York, New York, United States
Summary
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Senior🎓
Top SchoolÁngel De La Garza is an Assistant Professor and neuroscience-focused data scientist with a decade of experience applying quantitative methods to neuroimaging and biomedical research. After a PhD at Columbia and roles at Penn Medicine and Columbia, he translated academic expertise into industry practice during a Data Science internship at Google before returning to academia at Albert Einstein College of Medicine. He combines rigorous experimental design with scalable data analysis, bridging clinical neuroimaging pipelines and statistical modeling. Based in New York, Ángel is comfortable navigating both lab-driven research and large-scale data environments, and his background suggests a talent for turning complex imaging datasets into reproducible, clinically relevant insights.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Columbia University in the City of New YorkBachelor of Arts, Bachelor of Arts at University of Pennsylvania
Github Skills (16)
r-package9
mass8
anova7
gt7
biostatistics7
statistics6
reproducible-research6
regression-models6
r5
mathematica5
statistical-learning5
nifti5
r-programming5
tableone5
python4
Programming languages (2)
Github contributions (5)
angelgar/voxel
Aug 2016 - Jun 2018
Contributions:35 commits, 3 PRs, 49 pushes in 1 year 10 months
r-packageniftiunivariatemass
angelgar/columbia-computing-club.github.io
Aug 2018 - Sep 2024
statistical programming tutorials from the Columbia University Department of Biostatistics
Contributions:18 pushes in 6 years 1 month
statisticspythoncolumbia-universitydata-sciencestatistical-learning
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