Romila Pradhan

Romila Pradhan is an Assistant Professor in the Department of Computer & Information Technology at Purdue University. Her research focuses on responsible data science, machine learning, and trustworthy decision-making systems, emphasizing explainability, fairness, and accountability.

Education:

• Ph.D. in Computer Science, Purdue University (2018)
• M.S. and B.S. in Mathematics and Computing, Indian Institute of Technology Kharagpur (2008)

Research Interests:

• Data management frameworks for ethical AI
• Algorithmic fairness in machine learning systems
• Explainable AI (XAI) methodologies
• Bias mitigation in data-driven decision-making

Grants & Awards:

• NSF Grant: Data Preparation for Fair and Trusted Machine Learning (2024)
• NSF Grant: Data Preparation for Trusted and Fair Data Science (2023)
• Bias in AI award for fair machine learning models (2023)

Professional Experience:

• Postdoctoral Researcher, Halıcıoğlu Data Science Institute, UC San Diego
• Visiting Assistant Professor, Purdue University Department of Computer Science

Labs & Teams: Actively involved in Purdue's Purdue Polytechnic Institute and the newly founded Applied AI Research Center.