Layla Bouzoubaa
Doctoral Researcher at g.co/IamRemarkable
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolLayla Bouzoubaa is a doctoral researcher at Drexel University who investigates how people construct meaning from personal experiences in online communities, with a specific focus on expressions of substance use stigma using mixed methods. With eight years of experience across academic and industry settings, she combines rigorous biostatistics and applied data science—skills honed through roles at the University of Miami and a data science apprenticeship analyzing social media discourse for Creative Artists Agency. She teaches R, contributes to reproducible research, and often bridges qualitative insights with quantitative modeling to surface how stigma and health narratives evolve online. A committed advocate for women and underrepresented groups, Layla amplifies impact beyond research as a #IamRemarkable facilitator and Women Techmakers ambassador. Her background in public health and industrial engineering gives her a rare cross-disciplinary lens for translating complex data into actionable, human-centered findings.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Information Science/Studies, Doctor of Philosophy - PhD, Information Science/Studies at Drexel UniversityGraduate Certificate, Applied Statistics, Graduate Certificate, Applied Statistics at Penn State UniversityGeorgia State UniversityMaster of Science in Public Health (M.S.P.H.), Biostatistics, Master of Science in Public Health (M.S.P.H.), Biostatistics at University of Miami Leonard M. Miller School of MedicineBachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at Georgia Institute of Technology
French, English, Arabic
Github Skills (62)
shiny10
r9
factor9
speech9
huggingface8
categorical8
parsing8
ncbi8
ontology8
datasets8
tidyverse8
r-package8
word2vec7
artificial-intelligence7
machine-learning7
Programming languages (7)
Github contributions (5)
CTN-0094/DOPE
Dec 2020 - Jun 2021
Drug Ontology Parsing Engine
Contributions:2 releases, 16 reviews, 72 commits in 5 months
parsing
social-nlp-lab/drugs_in_inquirer
May 2023 - Sep 2024
Repo for the project looking at the discourse of illicit substances reported in local news articles over time
Contributions:2 reviews, 1 PR, 9 pushes in 1 year 4 months
computational-social-sciencedrugsnatural-language-processingtemporal
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