Ignas Satkauskas's LinkedIn profile

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Ignas Satkauskas is a postdoctoral researcher in the Complex Systems Simulation and Optimization Group in NLR's Computational Science Center.  At NLR, Ignas takes part in various projects including operations of electrical grids under uncertainty, optimization of turbine design, coupling of computational fluid dynamics algorithms, modeling of hybrid energy systems, and design and analysis of synthetic power grids with large renewable energy penetrations.

Ignas has a strong background in numerical analysis, probability, statistics. His interests include stochastic and deterministic optimization, uncertainty quantification, complex network theory, data science, machine learning, visualization, and high-performance computing. He received his doctorate in Applied Mathematics from University of Colorado where he developed advanced numerical calculus of probability density functions.

Renewable energy and electric grid operations 
 
Stochastic and deterministic optimization  
 
Accurate approximation methods and multiresolution 
 
Complex network theory 
 
Data analytics and machine learning 
 
Computational fluid dynamics 
 
High-performance computing  

Postdoctoral Researcher, NLR (2018–present)

Research/Teaching Assistant, University of Colorado (2012–2017)