معرفی
Dylan Cashman is an Assistant Professor of Computer Science at the Michtom School of Computer Science, Brandeis University. His work bridges Visual Analytics, Machine Learning, and Human-Computer Interaction to enhance accessibility and model interpretability.
- Ph.D., Tufts University
- M.Sc., Tufts University
- Sc.B., Brown University
Dr. Cashman’s research focuses on visual analytics techniques for data science and AI, emphasizing accessible visualization methods for visually impaired users and frameworks for model evaluation. His work explores inverse-projections, neural architectures, and multimodal data augmentation, often integrating knowledge graphs and Bayesian methods.
Recent publications highlight trends in visual analytics applied to pharmacovigilance, regression modeling, and inclusive design. Key themes include dimensionality reduction, tactile data representations, and inferential task-based evaluation of visualization systems.
He is affiliated with Brandeis University’s Volen National Center for Complex Systems, where he investigates interactive tools for bridging human-AI collaboration gaps in applied machine learning.
