Scholar
Dylan Cashman
Google Scholar ID: OJt8vkcAAAAJ
Assistant Professor of Computer Science, Brandeis University
Citations & Impact
Citations
401
H-index
10
i10-index
10
Publications
20
Co-authors
25
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including '“They Aren't Built For Me”: An Exploratory Study of Strategies for Measurement of Graphical Primitives in Tactile Graphics,' which won the Best Paper Award (top 1%) in IEEE Transactions on Visualization and Computer Graphics. Involved in research projects such as tactile graphics for blind and low vision people and automated generation of context-aware data using data flow graphs.
Research Experience
- Senior expert in data science and advanced visual analytics at Novartis' Data and AI division; built Ruby on Rails systems for healthcare nonprofits in the Boston area at Annkissam; interned at MIT Lincoln Laboratory, Palo Alto Research Center, and the MIT IBM Watson AI Lab during graduate studies.
Education
- PhD in Computer Science from Tufts University's Visual Analytics Lab (VALT) in 2020, under the supervision of Remco Chang; MS in Computer Science from Tufts University in 2016; BS in Mathematics from Brown University in 2010.
Background
- Assistant Professor of Computer Science at Brandeis University. Research interests include visual analytics, data science, and machine learning.
Miscellany
- Volunteered as a web chair of the organizing committee for IEEE VIS, the premier conference for visualization research.
