Arun Isaac
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I am a postdoc with Prof. Richard Mott at the Department of Genetics, Evolution & Environment in University College London. I completed my PhD in the Computational and Statistical Physics Lab working with Prof. Murugesan Venkatapathi at the Department of Computational and Data Sciences in the Indian Institute of Science, Bengaluru, India. I did my Masters in Computational Science from the same department. I did my Bachelors in Electronics and Communication Engineering from PSG College of Technology, Coimbatore, India.

Download complete curriculum vitae.


  • Arun, I., and Murugesan Venkatapathi. "Analysis of numerical solutions to Sommerfeld integral relation of the half-space radiator problem." Applied Numerical Mathematics 106 (2016): 79-97.
  • Arun Isaac, Abhijeet Jawlekar, and Murugesan Venkatapathi. “An algorithm for estimating non-convex volumes and other integrals in n dimensions”. In: Computational and Applied Mathematics 42.6 (2023), p. 242.


  • Functional Package Management using GNU Guix at the Netherlands Research Software Engineers Conference 2019 (NL-RSE19)
  • Semantically meaningful S-expression diff: Tree-diff for lisp source code at FOSDEM 2021
  • Reproducible FAIR+ workflows and the Concise Common Workflow Language at NIH/NCI Containers and Workflows Interest Group
  • Concise Common Workflow Language: Concision and elegance in a workflow language using lisp at FOSDEM 2022
  • Propagator networks for degenerate computation at DeclMed, International Conference on Functional Programming 2023


Numerical methods, Monte Carlo method, probability and statistics, high dimensional geometry

Postdoctoral Research
Homomorphic encryption for genetic privacy and cryptography; pangenomics for genome wide association studies
PhD Thesis
Algorithms for estimating integrals in high dimensional spaces
Master's Thesis
Numerical evaluation of the Sommerfeld integral

Courses and Research Training

Numerical methods and mathematics
Numerical Methods, Numerical Solutions of Differential Equations, Numerical Linear Algebra, Modelling and Simulation
Computer systems and algorithms
Data Structures and Programming, Data Analysis and Visualization, High Performance Computing, Parallel Programming
Introduction to Photonics, Quantum Mechanics I, Applied Solid State Physics, Quantum Mechanical Principles in Materials, Computational Modelling of Materials


Programming languages and software

High proficiency
C, Emacs Lisp, Guile Scheme, LaTeX typesetting, Git version control, GNU/Linux, shell scripting (bash, grep, sed, awk)
Working proficiency
C++, Common Lisp, MATLAB, Python, high performance computing (OpenMP, MPI and Cuda)


  • Good research and math skills
  • Self-driven, motivated and organized

Free software contributions