Akash Arora
Associate Research Scientist
Michigan, United States
Summary
👤
Senior🎓
Top SchoolAkash Arora is an Associate Research Scientist with 10 years of experience applying mathematical modeling, Monte Carlo methods, and machine learning to physics-based simulations and materials discovery. He builds production-scale simulation codes and post-processing tools that extract statistical insights from large time-series datasets, and has implemented advanced sampling techniques like Parallel Tempering to boost efficiency. His background spans academia (MIT postdoc, PhD from University of Minnesota) and industry R&D at Dow, where he translates mechanistic models into deployable workflows. Beyond simulations, he has a track record of integrating optimization and predictive analytics to identify optimal system parameters that enabled novel material discoveries. Notably, he combines deep numerical PDE/CFD experience from earlier work with modern data-driven pipelines, making him equally comfortable with low-level simulation performance and high-level statistical interpretation.
10 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster’s Degree, Advanced Modeling and Simulation in Chemical Engineering and Science, Master’s Degree, Advanced Modeling and Simulation in Chemical Engineering and Science at National Chemical Laboratory - Pune, IndiaUniversity of Minnesota Twin Cities
Hindi, English, Punjabi
Github Skills (3)
theory8
fortran6
polymer5
Programming languages (3)
Github contributions (5)
akasharora123/pscf
Mar 2016 - Jun 2018
Polymer self-consistent field theory
Contributions:9 pushes in 2 years 2 months
consistenttheoryfieldpolymerself-consistent-field-theory
akasharora123/Chemometrics
May 2020 - Aug 2020
Dimensionality reduction tools for multivariate analysis
Contributions:2 PRs, 31 pushes, 2 branches in 2 months
decompositiondimensionalitydimensionality-reductionmultivariate-analysisreduction
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