Bledar Alex Konomi

Bledar Alex Konomi is Associate Professor of Statistics at University of Cincinnati's College of Arts and Sciences. He holds a PhD from Texas A&M University (2011) and BS from Athens University of Economics and Business.

Research develops Bayesian methods for large spatial/simulation datasets, uncertainty quantification, and multifidelity computer model calibration. Applications include remote sensing, storm surge prediction, and paleoclimate reconstruction.

Recent articles feature:

• Spatial modeling innovations for big data
• Satellite calibration techniques
• Bayesian decision tree algorithms
• Ice model parameter estimation

Advises doctoral students in statistical computing and spatial modeling. Teaches graduate courses: Bayesian Analysis, Statistical Machine Learning, and Mathematical Statistics.

Secured NSF/NASA JPL grants for remote sensing uncertainty quantification. Previously held positions at Pacific Northwest National Laboratory and Simon Fraser University.