Andrew DiLernia

Assistant Professor, Statistics

Grand Valley State University

Biography

My name is Andrew DiLernia and I am an assistant professor in the Statistics Department at Grand Valley State University (GVSU). I grew up in Potterville, Michigan and spent my undergraduate years at GVSU. I attended the University of Minnesota - Twin Cities for my graduate studies and thoroughly enjoyed all the wonderful activities that the Twin Cities have to offer. In my free time I enjoy casually playing the piano, running, playing basketball, watching football, and most of all spending time with my cat Lei and significant other Lauren. Fall is by far my favorite season since it has the best weather and scenery of the year.

Interests

Machine learning methods for neuroimaging data
Predictive modeling
Computing and data visualization
Teaching

Education

Ph.D., Biostatistics, 2021

University of Minnesota - Twin Cities
B.S., Mathematics and Statistics, 2016

Grand Valley State University

Presentations

Penalized model-based clustering of fMRI data

ASA Statistical Methods in Imaging Conference Presentation

May 21, 2020 12:00 PM — 1:00 PM Atlanta, Georgia (virtual due to COVID-19)

Code Slides Video

Publications

Penalized model-based clustering of fMRI data

Functional magnetic resonance imaging (fMRI) data have become increasingly available and are useful for describing functional …

Andrew S. DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan, Lin Zhang

PDF

A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data

We consider a novel problem, bi-level graphical modeling, in which multiple individual graphical models can be considered as variants …

Lin Zhang, Andrew S. DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan

PDF DOI

Individual differences in the response of human β-lymphoblastoid cells to the cytotoxic, mutagenic and DNA damaging effects of a DNA methylating agent, N-methylnitrosourethane

Metabolic activation of many carcinogens leads to formation of reactive intermediates that form DNA adducts. These adducts are …

Lisa A. Peterson, Igor V. Ignatovich, Alex E. Grill, Amanda Beauchamp, Yen-Yi Ho, Andrew S. DiLernia, Lin Zhang

PDF

Who’s good this year? Comparing the information content of games in the four major US sports

In all four major North American professional sports (baseball, basketball, football, and hockey), the primary aim of the regular …

Julian Wolfson, Joseph S. Koopmeiners, Andrew S. DiLernia

PDF

Certificates

Visualization of Biomedical Big Data

University of Washington, Department of Biostatistics Jul 2017

Data visualization using the ggplot2 package in R, and producing templates for use with multiple data sets
Interactive graphics for rapid exploration of Big Data and also how to create simple web GUIs for managing complex summaries of biological data using R Shiny

See certificate

Reproducible Research for Biomedical Big Data

University of Washington, Department of Biostatistics Jul 2017

Use of R and R Markdown for producing reproducible documents
Techniques for making large-scale data analyses reproducible

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Data Wrangling with R

University of Washington, Department of Biostatistics Jul 2017

Creating ‘tidy data’, data retrieval, manipulation, and formatting
Reproducible research using R Markdown and collaborative code sharing using GitHub

See certificate

Andrew DiLernia

Assistant Professor, Statistics

Grand Valley State University

Biography

Interests

Education

Presentations

Penalized model-based clustering of fMRI data

Publications

Penalized model-based clustering of fMRI data

A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data

Individual differences in the response of human β-lymphoblastoid cells to the cytotoxic, mutagenic and DNA damaging effects of a DNA methylating agent, N-methylnitrosourethane

Who’s good this year? Comparing the information content of games in the four major US sports

Certificates

Visualization of Biomedical Big Data

Reproducible Research for Biomedical Big Data

Data Wrangling with R

Contact