I have a PhD in Mathematics & Computational Science from MIT, where I studied surrogate modeling to accelerate the simulation of high-dimensional dynamical systems at the JuliaLab at the MIT Computer Science & Artificial Lab (CSAIL). Prior to MIT, I was an applications engineer and data scientist at Julia Computing. I graduated from BITS-Hyderabad in 2015 and PSBB-KK Nagar in Chennai in 2011.
I am a member of numerous open source projects:
I am part of the Julia community since 2015, and chaired JuliaCon since 2020. I am also an editor at the open access journal JuliaCon Proceedings.
I am a part of the Scientific Machine Learning community since 2020 and have organized SciMLCon 2022.
I also maintain the open source tool Circuitscape, a simulation tool that helps conservation scientists propose policy to save endangered species.
This is my Google Scholar.
Circuitscape.jl: estimates landscape connectivity across large heterogeneous landscapes. Can process grids with hundreds of millions of pixels.
AlgebraicMultigrid.jl: implements algebraic multigrid preconditioners to iteratively solve large linear systems.
MonteCarloIntegration.jl: multidimensaional integration using adaptive importance sampling.
You can email me at ranjan DOT anantharaman AT gmail DOT com. I can also reached at the Julia Language slack, and on Github.