Assistant Professor in the College of Information Sciences and Technology at Penn State University
Affiliated with the Institute for Computational and Data Sciences and the Center for Socially Responsible AI
Research focuses on accountable machine learning, especially improving robustness and transparency under data imperfections and deployment mismatches
Interested in transformative ML paradigms such as large language models (LLMs), multimodal models, federated learning, self-supervised learning, and graph neural networks
Aims to establish algorithmic foundations for reliable AI systems in practical environments with biased, noisy, and out-of-distribution inputs