Nicholas Williams
Senior Data Analyst III
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolNicholas Williams is a Senior Data Analyst III at Columbia University's Mailman School of Public Health with eight years of experience applying biostatistics and statistical computing to public health research. A PhD student in Biostatistics at UC Berkeley, he focuses on nonparametric causal inference and builds reproducible analysis pipelines as a freelance research software engineer. His background bridges psychology, public health, and quantitative methods, enabling him to translate complex causal questions into robust, software-driven solutions. Based in Oakland, he combines academic rigor with practical data engineering to support high-impact epidemiologic studies.
7 years of coding experience
Doctor of Philosophy, Biostatistics, Doctor of Philosophy, Biostatistics at University of California, BerkeleyMaster of Public Health - MPH, Biostatistics, Master of Public Health - MPH, Biostatistics at Columbia University Mailman School of Public HealthPine Creek High SchoolVirginia Military InstituteBachelor’s Degree, Psychology, Graduated, Bachelor’s Degree, Psychology, Graduated at University of Colorado Boulder
English
Stackoverflow
175reputation
1kreached
9answers
1question
Github Skills (40)
causal10
missing-data10
r-package10
r10
survival-analysis10
statistics10
machine-learning10
policies10
tidyverse10
causal-inference10
tidy10
tidymodels10
dplyr10
r-language10
longitudinal-data10
Programming languages (3)
Github contributions (5)
nt-williams/lmtp
Mar 2020 - Jan 2023
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Contributions:8 releases, 648 commits, 75 PRs in 2 years 10 months
nonparametric-statisticscausaltargeted-learningstatisticsprecision-medicine
nt-williams/catfun
Dec 2018 - Sep 2019
Categorical Data Analysis
Contributions:1 release, 102 commits, 4 PRs in 9 months
data-analysiscategoricalcategorical-data
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