Farzana Nasrin is an assistant professor of mathematics at the University of Tennessee, Knoxville, with a focus on precision health and environment. Her research lies at the intersection of applied topology, Bayesian learning, and computational statistics, contributing to both theoretical advancements and novel statistical frameworks. Nasrin’s interdisciplinary work spans biology, genomics, health sciences, materials science, biomedical imaging, neuroscience, and oceanography. She has published extensively in journals such as SIAM Journal on Mathematics of Data Science, Bayesian Analysis, Statistics and Computing, I_EEE Transactions on Medical Imaging_, and PLOS ONE. Her research has been supported by NIH. She has been invited to speak at numerous national and international conferences, including plenary engagements and special sessions at SIAM and IEEE venues.

In the classroom, she has taught a wide range of undergraduate and graduate courses in mathematics, statistics, and data science. She actively contributes to the professional community through editorial and organizing roles, including as associate editor for Foundations of Data Science, ACM Transactions on Probabilistic Machine Learning, and Statistics and Computing. Nasrin was named a “Rising Star in Computational and Data Sciences” and continues to bridge mathematical theory with real-world data challenges through research, teaching, and service.