Rebecca Faust

Rebecca Faust

I am an assistant professor at Tulane University. My research interests include incorporating interactive visualization into data science analyses to increase understandability of the results and the analyses themselves.

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Pages

About me

Posts

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

courses

CSc 245

Introduction to Discrete Structures

other

portfolio

Anteater: Interactive Visualization of Program Execution Values in Context

Anteater is an interactive visualization system for tracing and exploring the execution of a program. It alleviates the burden of manual instrumentation by automatically instrumenting source code to track the values that the user desires to inspect, along with the execution trace. Anteater presents the trace to users through various visualizations.

DimReader: Axis Lines that Explain Non-Linear Projections

DimReader is a technique that recovers readable axes from dimensionality reduction techniques. It analyzes infinitesimal perturbations of the dataset with respect to variables of interest. The recovered axes are in direct analogy with the axis lines (grid lines) of traditional scatterplots. DimReader also provides methods for discovering the perturbations on the input data that change the projection the most.

publications

syllabi

CSc 245 Syllabus

Syllabus

This is the syllabus for CSc 245: Introduction to Discrete Structures Summer 2020

talks

DimReader: Axis Lines that Explain Non-Linear Projections

Published:

In this talk, I present DimReader: Axis Lines that Explain Non-Linear Projections. DimReader is a technique that recovers readable axes from dimensionality reduction techniques by analyzing infinitesimal perturbations of the dataset with respect to variables of interest. This talk was presented at IEEE VIS 2018.

teaching

CSc 245: Introduction to Discrete Structures - Summer 2021

Undergraduate course, University of Arizona, Computer Science Department, 2021

An introduction to mathematical concepts for Computer Science. Topics include first-order logic and logical arguments, proof techniques with an emphasis on mathematical induction, sets, relations and functions, properties of integers, counting methods, probability, and recurrences.