Sihm, Dr. Jeong

Assistant Professor of Math
School of Arts and Sciences
PhD in Computational Mathematics, The University of North Carolina at Greensboro 2017
MA in Applied Statistics, The University of North Carolina at Greensboro 2012
MS in Accounting, The University of North Carolina at Greensboro 2011
MBA, The University of North Carolina at Chapel Hill 2008
BS in Engineering, Seoul National University 1995


Dr. Jeong S. Sihm is a passionate educator and a statistician who specializes in sampling design and estimation methods. He holds a PhD in Computational Mathematics with a specialization in Applied Statistics; a Master of Arts in Applied Statistics; a Master of Science in Accounting; an MBA with a specialization in Corporate Finance; and a Bachelor of Science in Naval Architecture and Ocean Engineering. He spent 10 years in the IT industry before pursuing graduate education and a career in academia. He has taught various undergraduate mathematics and statistics courses since 2013 and has been working as a full-time faculty member since 2016. His current research interests are in the computational methods for populations and characteristics that are inherently difficult to sample and hard to detect. He is also passionate about bringing the latest technological advances and innovations in applied statistics and machine learning into undergraduate statistics education.


K. Savage, J. S. Sihm, S. K. Robinson and C. M. Stracey, Alarm calls of nesting Northern Mockingbirds (Mimus polyglottos) are associated with predator type, The Wilson Journal of Ornithology, 132 (2020), no. 3, 608-618.
J. S. Sihm, A. Chhabra and S. N. Gupta, An optional unrelated question RRT model, Involve, A Journal of Mathematics 9 (2016), no. 2, 195--209.
J. S. Sihm and S. N. Gupta, A two-stage binary optional randomized response model, Commun. Stat. Simul. Comp. 44 (2015), no. 9, 2278--2296.

Courses Taught

Elementary Statistics
Calculus I, II, III, IV
Introduction to Data Science
Linear Algebra
Mathematical Statistics I, II
Statistical Methods
Foundations of Data Science
Statistics for Data Science I & II
Algorithms for Data Science
Data Visualization and Dashboarding
Databases and Data Retrieval

Sihm, Jeong