Farzana Nasrin

Farzana Nasrin is an Assistant Professor in the Department of Mathematics at the University of Hawaiʻi at Mānoa, joining in 2020. She holds a Ph.D. in Mathematics from Texas Tech University (2018). Her research focuses on algebraic topology, Bayesian statistics, and their applications in interdisciplinary domains like genomics, materials science, and biomedical engineering. She develops novel methodologies for topological data analysis, integrating statistical inference with geometric insights to solve complex problems in biology and engineering.

Her work bridges pure mathematics and applied sciences, with notable contributions to Bayesian topological learning for classifying biological networks, material microstructure analysis, and corneal disease diagnosis. Her website at math.hawaii.edu showcases her research and teaching activities, including courses in advanced mathematics and statistical methods. She is based in Keller 309 on campus.

Recent research trends include advancing topological deep learning frameworks, exploring stochastic topology for material science, and applying Bayesian methods to microbiological systems. Her articles reflect a strong emphasis on computational topology, interdisciplinary collaborations, and methodological innovation.

While no awards are explicitly listed, her active publication record and academic contributions highlight her academic impact. She advises graduate students in mathematical sciences and has contributed to grant-funded projects in applied topology and statistics.