Dr. Devansh Saxena

Assistant Professor

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Biography

Devansh Saxena is an Assistant Professor at the Information School at the University of Wisconsin–Madison. His research focuses on sociotechnical practices and decision-making in high-stakes domains, as well as the social impacts of introducing artificial intelligence in these domains. Saxena combines computational design methods to deeply explore the decision-making space and to design systems that augment workers' practices. His work examines human-AI interaction and how it plays a role in decisions that are mediated by organizational constraints, as well as the nuances of professional practice and algorithmic decision-making. He is particularly interested in developing new methods and tools to support AI innovation at the earliest stages, including ideation, problem formulation, and project selection. As a mixed-methods researcher, his work is driven by Human-Centered Data Science and seeks to find the intersection of Human-Computer Interaction, Machine Learning, and Fairness, Accountability, and Transparency in Sociotechnical Systems.

Research Interests

Requirements for University of Wisconsin–Madison

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:92
IELTS
Overall
Required:7
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Programming experience (Data Structures, Machine Organization) One year college-level calculus
Application Checklist
  • Statement of Purpose
  • CV/Resume
  • Three letters of recommendation
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Sciences