Dylan Cashman
Assistant Professor Of Computer Science at Brandeis University
Somerville, Massachusetts, United States
Summary
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Senior🎓
Top SchoolDylan Cashman is an assistant professor of computer science at Brandeis University with 11 years of industry and academic experience spanning data visualization, machine learning, and full-stack web development. He earned a PhD in Data Visualization from Tufts, with DARPA-funded research and open-source libraries for visual analytics and AI explainability. Before academia he led advanced visual analytics at Novartis, influencing data-driven decisions across drug development, and has held research internships at IBM, PARC, and MIT Lincoln Laboratory. A longtime Ruby/Python practitioner and former freelance Rails developer, he brings practical engineering chops—front-end work on widely used projects like the ieeevis.org site highlights his attention to accessibility and polished UI. He blends rigorous mathematical training with strong technical writing and a commitment to open-source communities, making complex ML and visualization concepts approachable for students and collaborators.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at Brown UniversityUniversity College CorkMaster's Degree, Computer Science, Graduate, Master's Degree, Computer Science, Graduate at Tufts University
Spanish, French
Github Skills (12)
html10
css10
responsive-design10
javascript10
web-development10
jekyll9
tailwindcss9
user-interface8
graphical-user-interface8
ui-design8
githubaction-workflow7
github-ci7
Programming languages (7)
Github contributions (5)
ieee-vgtc/ieeevis.org
Feb 2021 - Jan 2023
Website for ieeevis.org
Role in this project:
Front-end Developer
Front-end DeveloperContributions:73 releases, 3 reviews, 156 commits in 2 years
Contributions summary:Dylan primarily focused on updating and improving the website's front-end components. They implemented changes to the carousel, adding features like a black background option and updating image and text. The user also updated the navigation, footer, and homepage elements, including adjustments for the current year's conference. They addressed accessibility and visual improvements with changes to the carousel controls and style, while also fixing deployment issues related to HTML file extensions and the GitHub hook.
TuftsVALT/snowcat
Jul 2020 - Sep 2020
Source code for the paper from Transactions on Visualization and Computer Graphics in 2020-2021 by Cashman et al on Columnar Data Augmentation through Visual Analytics using Knowledge Graphs
Contributions:12 commits, 10 pushes in 2 months
data-driven-discoveryvisualizationanalyticsvisual-analyticsknowledge
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