Bala Krishnamoorthy

Bala Krishnamoorthy is a Professor of Mathematics and Statistics at Washington State University (WSU) Vancouver, where he has been since 2014. Previously, he held positions at WSU Pullman (2004–2014). He earned his B.Tech from IIT Madras (1995) and a PhD in Operations Research from UNC Chapel Hill (2004). His research spans applied algebraic topology, geometric measure theory, optimization, and computational biology, with applications in 3D printing, biomedical analysis, and data science. He has secured grants from the NSF, Department of Energy, and WA State Attorney General’s Office, among others.

Key research interests include topological data analysis (TDA), algorithmic optimization, and interdisciplinary collaborations with fields like surgery, chemistry, and criminology. Notable awards include the 2019 WSUV Chancellor’s Research Excellence Award, 2022 Yang Liu Teaching Award, and 2023 College of Arts and Sciences Excellence in Teaching Award.

His work emphasizes practical applications, such as toolpath optimization in 3D printing, robust feasibility in optimization, and analyzing complex datasets like cancer gene expression. He advises numerous PhD students, many of whom have secured roles in academia, industry, and government. Current projects include steering committees for NSF-funded initiatives like DELTA and collaborations with institutions like Tohoku University and UC Davis.

Teaching responsibilities include advanced courses on algebraic topology, optimization, and computational methods. His seminars and workshops foster interdisciplinary dialogue, such as the WSU Vancouver Math/Stats Seminar series and topological data analysis workshops at ACM-BCB and PSB conferences.