Hi! I am Rahul Kakodkar, a decision scientist researching ways to hedge against the risk posed by uncertainty. I typically model phenomena occurring at multiple scales in tandem and resolve the interactations between them explicitly. I have applied this towards:

The design of future energy systems with awareness to the trade-offs among economic, social, and environmental impact objectives, and the sensitivity of the solution to parameter uncertainty and error.

Determining optimal parameters to run on a set of gas-lift oil wells to optimize water and energy use. Additionally, NN-driven approaches allow the consideration of highly non-linear and complex processes typically seen in well equations.

Writing multiscale problems of the class multiparametric mixed integer program (mpMIP) effeciently as matrices or in set-notation.

Currently on a mission to help meet the demand for next-gen silicon chips through optimal operational planning.

I package my frameworks as open-source tools,

and even write about them.

If you like what you see, connect with me!

inFrequently Asked Questions (inFAQs) are questions nobody asked me;
I answer them anyway.

Rahul Kakodkar - 2025-11-15 > What's your research about? Phenomena occur at different rates. In data-driven optimization, real-life events are sampled to generate information that informs decision-making. Further, there could be interactions between these spatiotemporally disparate events. Models that are inclusive of constraints that bind decisions

Rahul Kakodkar - 2025-11-16 > Why is buying and selling apples hard? Non-linearity is when a relation between two aspects of a system does not does not scale 1: some real number. Take the example of buying apples. A grocer will charge you a price x for each apple. The amount you pay for apples is a calculation based on the number of apples you purchase, a decision,

Here are some products that I'm actively developing:

A decision-making tool for the multiscale modeling and optimization of systems under uncertainty.

It has been applied towards the design of future energy systems, carbon accounting and life cycle analysis, robust scheduling, modeling reverse material chains.

An algebraic modeling language (AML) that formulates multiparametric mixed integer linear programs & subsets of the problem class.

Modeling elements are mutable, allows constraints to be updated. Formulations
can be output as .mps files and passed to solvers. Programs are displayed in set notation.

I like to talk about my work, and learn about what others are researching. So reach out!