Dr. Stephanie Milani

Assistant Professor

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Biography

Stephanie Milani is an incoming Assistant Professor in the Department of Computer Science at Johns Hopkins University. Her research focuses on building interactive AI agents to address human-centered use case-driven challenges. Broadly, her work lies at the intersection of reinforcement learning, human-AI interaction, and machine learning. Milani's research has been published at top venues in machine learning and human-computer interaction, including the International Conference on Learning Representations, the Conference on Neural Information Processing Systems (NeurIPS), and the ACM Conference on Human Factors in Computing Systems. She has received paper awards at the International Conference on Machine Learning and workshops such as NeurIPS GenAI Health. Milani was named a 2025 Rising Star in ML Systems, a 2024 Future Leader in Responsible Data Science and AI, and a 2024 Rising Star in Data Science. She obtained her PhD in machine learning in 2025 and her MS in machine learning research in 2021 from Carnegie Mellon University. Before joining Johns Hopkins, she served as an Assistant Professor/Faculty Fellow at New York University.

Research Interests

Requirements for Johns Hopkins University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree Inorganic Chemistry with Lab Organic Chemistry with Lab General Biology with Lab
Application Checklist
  • Online application
  • Official transcripts
  • CV
  • Personal statement
  • Three letters of recommendation
Specialization Notes

Department of Pathology - PhD in Pathobiology. GRE is not required.