Kris Sankaran

Kris Sankaran is an Assistant Professor in the Department of Statistics at the University of Wisconsin-Madison, affiliated with the School of Computer, Data & Information Sciences. His research focuses on developing statistical tools for microbiological and Earth systems data, emphasizing interdisciplinary applications in health and environmental science. He leads a lab dedicated to multimodal mediation analysis, semisynthetic simulations, and interpretable AI.

His work bridges statistical theory and practical data science, with contributions to microbiome analysis, climate modeling, and machine learning interpretability. Notable projects include the 'Multimedia' framework for microbiome data and the 'Highres-net' satellite imagery tool. He has published extensively in top journals and conferences, with a focus on methodological innovation and real-world impact.

Education details are not explicitly provided, but his academic contributions span over a decade, with key collaborations in computational biology and environmental analytics. He actively engages in teaching and mentoring, though student names are not listed here. His lab's website provides further details on ongoing research and software tools.