Stephanie Reinders

Stephanie Reinders

Ph.D. in Applied Mathematics and Computer Engineering from

Iowa State University

Biography

I recently completed my PhD in applied mathematics and computer engineering with a minor in statistics at Iowa State University. While at Iowa State, I worked for the Center for Statistics and Applications in Forensic Evidence as a graduate research assistant. In my reasearch, I applied machine learning techniques and statistical methods to digital image forensic problems to make techniques more efficient in practice and more suitable for presentation as evidence in court.

Interests

  • data science
  • machine learning
  • applied mathematics and statistics
  • digital image forensics, steganalysis, and camera device identification

Education

  • Ph.D. in Applied Mathematics and Computer Engineering, August 2020

    Iowa State University

  • Post-baccalaureate in Certificate Mathematics, 2013

    Smith College

  • B.A. in Journalism and Asian Languages and Literatures, 2005

    University of Minnesota

  • A.A. in Multimedia and Computer Graphics, 2001

    Globe College

Skills

maching learning

data visualization

R

GitHub

matlab

MATLAB

latex

LaTex

Work Experience

 
 
 
 
 

Graduate Research Assistant

Center for Statistics and Applications in Forensic Evidence at Iowa State University

Jun 2016 – Aug 2020 Iowa
  • Applied score-based likelihood ratios – a statistical tool for quantifying the weight of evidence – to camera device identification to increase the transparency of results for use in court.
  • Created novel machine learning technique for steganalysis – detecting hidden data in digital images – that reduces the amount of necessary training time and image data.
  • Conducted experiments for score-based likelihood ratios and steganalysis in MATLAB with data visualizations created in R.
  • Adapted experiment code to run in parallel computing environment on servers using Slurm job scheduler.
  • Led team of 5 undergraduate students in an 8-week steganalysis project.
 
 
 
 
 

Graduate Teaching Assistant

Department of Mathematics at Iowa State University

Aug 2014 – Jun 2016 Iowa
  • Lead instructor for two sections of College Algebra for two semesters. Delivering weekly lectures on new material and writing and grading quizzes and exams.
  • Teaching assistant for Digital Image Forensics, Discrete Mathematics for Business and Social Sciences, Pre-calculus, Differential Equations. Leading weekly recitations, proctoring quizzes, answering questions on the material, and grading quizzes and exams.

Leadership Experience

 
 
 
 
 

Co-Leader

Ames Chapter of R-Ladies Global

Sep 2019 – May 2020 Iowa
  • Co-led weekly TidyTuesday meetings, where participants worked as a group to explore new datasets in RStudio. The meetings focused on providing a comfortable and fun environment for participants to ask questions and learn new R programming skills from each other.
  • Led workshop on how to use Github with RStudio.
 
 
 
 
 

Graduate Committee Liaison and Communications Officer

Math Graduate Student Organization at Iowa State University

Aug 2015 – May 2017 Iowa
  • Served as the math graduate student representative to the Math Graduate Committee.
  • Communicated graduate student concerns to the Math Graduate Committee.
  • Surveyed current math graduate students on qualifying exam experiences. The results of the survey played an integral part in the Math Graduate Committees decision to restructure the qualifying exams.

Publications

Score-based likelihood ratios for camera device identification

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use …
Stephanie Reinders, Li Lin, Yong Guan, Min Wu, Jennifer Newman
PDF Slides

Algorithm Mismatch in Spatial Steganalysis

The number and availability of stegonographic embedding algorithms continues to grow. Many traditional blind steganalysis frameworks …
Stephanie Reinders, Li Lin, Yong Guan, Min Wu, Jennifer Newman
PDF Slides

Bases and structure constants of generalized splines with integer coefficients on cycles

An integer generalized spline is a set of vertex labels on an edge-labeled graph that satisfy the condition that if two vertices are …
Nealy Bowden, Sarah Hagen, Melanie King, Stephanie Reinders
PDF

Integer generalized splines

Let G be a graph whose edges are labeled by positive integers. Label each vertex with an integer and suppose if two vertices are joined …
Madeline Handschy, Julie Melnick, Stephanie Reinders
PDF

Posts

Create training and test sets

In this tutorial I show how to separate a dataset into training and test sets using scikit-learn in Python and the Iris dataset.
Stephanie Reinders
Last updated on Sep 30, 2020 6 min read

Create a decision tree on the Iris dataset

I recently learned how to create decision trees using scikit-learn in Python. In this tutorial, I will walk you through the steps that I took to build a decision tree on the Iris dataset.
Stephanie Reinders
Last updated on Sep 30, 2020 7 min read

Contact

  • Ames, IA 50010