Ben Seiyon Lee

Assistant Professor, Department of Statistics

George Mason University


About Me

My name is Ben Seiyon Lee, and I am an Assistant Professor in the Department of Statistics at George Mason University. I received my Ph.D. in Statistics from the Pennsylvania State University where I was advised by Dr. Murali Haran (Statistics) and co-advised by Dr. Klaus Keller (Geosciences). During my graduate studies, I was a part of the research network for Sustainable Climate Risk Management (SCRiM) and the Program on Coupled Human and Earth Systems (PCHES).

My research interests include:

  • computational methods for high-dimensional hierarchical spatial / spatio-temporal models

  • statistical methods and parallelized algorithms for computer model calibration

  • uncertainty quantification

  • Bayesian hierarchical modeling

  • interdisciplinary research in the environmental sciences

I am also part of the GMU-INOVA Health Systems iTHRIV partnership where statistical experts at George Mason University are available to provide support to colleagues from Inova Health Care Services. For additional information please visit the collaboration homepage.

Contact

Email: slee287 [at] gmu [dot] edu

Phone: (703) 993-9113

Office: Nguyen Engineering Building Room 1709

Mailing Address:
4400 University Drive, MS 4A7
Fairfax, VA 22030, USA.
Volgenau School of Engineering
George Mason University

Curriculum Vitae

My CV can be found here. (updated 02/2022)

Publications

[7] Doshi, A., Shah, K., Agbor-Enoh, S., Tushak, Z., Garcia, V., Kong, H., Jang, M., Hsu, S., Feller, E., Rodrigo, S., Tunc, I., Yang, Y., Lee, B.S., Solomon, M., Berry, G., Marboe, P., & Valantine, H. (2022+). Higher Levels of Allograft Injury in Black Patients Early after Heart Transplantation. The Journal of Heart and Lung Transplantation.

[6] Sharma, S., Lee,B.S. , Nicholas, R., and Keller, K., (2021). A safety factor approach to designing urban infrastructure for dynamic conditions. Earth’s Future, 9, e2021EF002118. https://doi.org/10.1029/2021EF002118.

[5] Sharma, S., Ghimire, G.R., Talchabhadel, R., Panthi, J., Parajuli, B., Dahal, P., Lee, B.S., Sun, F., Baniya, R., Adhikari, T.R. and Poudyal, K., (2021). Bayesian characterization of uncertainties surrounding fluvial flood hazard estimates. Taylor & Francis & IAHS, Hydrological Sciences Journal, 10.1080/02626667.2021.1999959.

[4] Lee, B. S., Haran, M. (2021). PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models. Technometrics, (just-accepted), 1-29. https://doi.org/10.1080/00401706.2021.1933596

[3] Lee, B.S., Haran, M., Fuller, R.W., Pollard, D., and Keller, K. (2020) A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet. The Annals of Applied Statistics 14(2), 605-634. https://doi.org/10.1214/19-AOAS1305

[2] Lee, B. S., Haran, M., and Keller, K. (2017). Multidecadal Scale Detection Time for Potentially Increasing Atlantic Storm Surges in a Warming Climate. Geophysical Research Letters, 44, 10,617– 10,623. https://doi.org/10.1002/2017GL074606

[1] Oddo, P. C., Lee, B. S., Garner, G. G., Srikrishnan, V. , Reed, P. M., Forest, C. E. and Keller, K. (2017), Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management. Risk Analysis. https://doi.org/10.1111/risa.12888


Manuscripts Under Review

[5] Lee, B.S. and Park, J. A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets. Under Revision. https://arxiv.org/abs/2011.13083

[4] K. J. Roop-Eckart, S. Sharma, M. Zarekarizi, B. Lee, C. Spence, T. Russo, and K. Keller. Effects of Mixed Distribution Statistical Flood Frequency Models on Dam Safety Assessments: A Case Study of the Pueblo Dam, USA. Under Review.

[3] Srikrishnan, V., D. Lafferty, T. Wong, T, J. Lamontagne, J. Quinn, S. Sharma, N. J. Molla, J. Herman, R. Sriver, J. Morris, and B. S. Lee. Uncertainty challenges in multi-sector systems: Open challenges to risk analysis, prediction, and planning for critical infrastructure. Under Review

[2] Sharma, S., B. S. Lee, Hosseini-Shakib, I., Haran, M., and K. Keller. Neglecting uncertainties surrounding model parameters can drastically underestimate flood risks. Under Review.

[1] Roth, S., B. S. Lee, Sharma, S., Hosseini-Shakib, I., Keller, K., and M. Haran. Flood hazard model calibration using multiresolution model output. Under Review. https://arxiv.org/abs/2203.00840




Teaching

George Mason University
STAT354 - Probability and Statistics for Engineers and Scientists II. Fall 2020 , Spring 2022

STAT676 - Alternative Regression Methods. Spring 2021

STAT668 - Survival Analysis. Fall 2021

Pennsylvania State University
STAT416 - Stochastic Modeling. Fall 2019