Stephanie Milani is an assistant research professor in the Department of Computer Science and a member of the Data Science and AI Institute at the Johns Hopkins University.
Her research focuses on building interactive AI agents to address human-centered and use case-driven challenges. Broadly, her work lies at the intersection of reinforcement learning, human-AI interaction, and machine learning.
Milani’s work 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—and has received Best Paper Awards at the International Conference on Machine Learning Multimodal Foundation Model Meets Embodied AI and NeurIPS GenAI for Health workshops. She was also named a 2025 Rising Star in ML and 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 will be serving as an assistant professor/faculty fellow at New York University.