Reetik Sahu

Postdoctoral Researcher, Computational Research Division

Contact Information

Reetik Sahu
MS 50A-3111
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

Affiliation and Research Interests

I am a postdoctoral researcher in the Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division of the Computing Sciences Area at the Lawrence Berkeley National Laboratory. My research interests include decision making under uncertainty, optimization, game theory and resources management. I am interested in building science driven decision-making frameworks.

Currently I am working on building a data driven framework to predict groundwater level as part of the LDRD team project: Enabling Water-Energy Decision Support Using Watershed-scale Surrogate Models (LDRD). Using machine learning methods we build robust groundwater prediction models that enable groundwater sustainability agencies to make informed and time decisions for groundwater management.


J. Mueller, J. Park, R.Sahu, C. Varadharajan, B. Arora, B. Faybishenko, D. Agarwal, "An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems", submitted for publication.. [arxiv].