Introduction

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My name is Quang Nguyen and I am currently a graduate student in the Quantitative Biomedical Science program at Dartmouth College.

I am a computational biologist, focusing on developing statistical and bioinformatic tools to investigate features of the infant gut microbiome, and how it relates to early life exposures and health outcomes. I am interested more broadly in statistical methods for high-dimensional data.

Check out my blog Limit Testing where I write about statistics and other fun things! You can find me on Github, LinkedIn, Google Scholar and Twitter.

Education

Bates College - B.S. in Mathematics and Biochemistry [2013-2017]
Dartmouth College - Ph.D. in Quantitative Biomedical Sciences [2017-2022]

Honors and Awards
2020 NSF DIFUSE Fellow (Data Science Infused Undergraduate STEM Education)
2017 Maine INBRE Summer Research Fellow

Experiences

(06/2021 - 08/2021) - Biostatistics Intern - Exploratory Data Analysis, Regeneron Pharmaceuticals
(03/2020 - 05/2021) - Data Quality Co-lead & Science Communicator, The COVID Tracking Project at The Atlantic
(09/2019 - current) - Statistical Consultant, Dartmouth-Hitchcock Analytic Institute
(08/2017 - current) - Doctoral Researcher, Dartmouth College
(05/2016 - 05/2017) - Undergraduate Researcher, Bates College

Skills

  • Experienced in performing statistical analysis of complex data using R (3 years) and/or Python (2 years)
  • Experienced in designing and running amplicon sequencing and metagenomic sequencing bioinformatic pipelines for microbiome research
  • Related Proficiencies: Git/GitHub, Drake/Snakemake, Markdown/Rmarkdown, High Performance Computing (Torque scheduler), Bash, R Shiny