Vaibhav Dixit

Vaibhav Dixit

Computational Engineer interested in Optimization, Dynamical Modeling and Sensitivity Analysis

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Final blog post for Google Summer of Code

9 minute read

Published:

It’s finally the last week of the Google Summer of Code 2018. Before I start discussing my work over the summer I would like to highlight my general experience with the GSoC program.

Google Summer of Code update

1 minute read

Published:

As discussed in the last blog post, I have been working on expanding JuliaDiffEq’s Global Sensitivity Analysis capability. After the Morris Method we decided to move on to the Sobol Method (indices).

Second blog post of Google Summer of Code

1 minute read

Published:

It is the end of the 4th week of GSoC. Things have been going quite smoothly so far and it’s wonderful to see that I get to learn so many new things everyday as the project moves ahead.

First couple of weeks of Google Summer of Code

2 minute read

Published:

The first two weeks of GSoC have ended and completely flipped my sleep cycle around (:P), but it has been a lot of fun and a great learning experience so far. In this blog post I would like to discuss the stuff I have worked on in these two weeks.

Getting started with Google Summer of Code

3 minute read

Published:

Google announced the results of GSoC’18 on 23rd April and I am delighted to share that my proposal was among the 1255 projects selected. I will be a working on DiffEqBayes.jl and DiffEqParamEstim.jl which are Julia packages within JuliaDiffEq for parameter estimation of differential equations, you can find my project’s description here.

publications

Accelerated Predictive Healthcare Analytics with Pumas, a High-Performance Pharmaceutical Modeling and Simulation Platform

Published in BioRxiv, 2020

This paper presents Pumas, a high-performance platform for predictive healthcare analytics.

Recommended citation: Rackauckas, C., Ma, Y., Noack, A., Dixit, V., Mogensen, P. K., Byrne, S., ... & others. (2020). "Accelerated Predictive Healthcare Analytics with Pumas, a High-Performance Pharmaceutical Modeling and Simulation Platform." BioRxiv. https://www.biorxiv.org/content/10.1101/2020.11.28.402297v1

Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas

Published in BioRxiv, 2021

This paper presents efficient precision dosing under estimated uncertainties using Koopman expectations of Bayesian posteriors with Pumas.

Recommended citation: Rackauckas, C., Dixit, V., Gerlach, A. R., & Ivaturi, V. (2021). "Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas." BioRxiv. https://www.biorxiv.org/content/10.1101/2021.01.25.428134v1

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions

Published in 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021

This paper compares automatic differentiation and continuous sensitivity analysis for derivatives of differential equation solutions.

Recommended citation: Ma, Y., Dixit, V., Innes, M. J., Guo, X., & Rackauckas, C. (2021). "A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions." 2021 IEEE High Performance Extreme Computing Conference (HPEC). https://ieeexplore.ieee.org/document/9622796