David Liptai
Research Software Engineer at Swinburne University of Technology
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolDavid Liptai is a Research Software Engineer and data scientist based in Melbourne with nine years’ experience building scientific software for astrophysics and astronomy. He applies his PhD training in general relativistic smoothed particle hydrodynamics to develop and maintain research-grade tools and visualization pipelines, notably contributing GR extensions and plotting/analysis features to the Phantom SPH code. At Swinburne’s ADACS he translates complex simulation physics into reproducible, usable outputs for researchers while combining back-end development with data-science workflows. Known for bridging rigorous numerical methods and practical tooling, he brings both academic depth and hands-on engineering to computational astronomy projects.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Monash University
Github Skills (6)
fortran10
computational-physics10
scientific-computing10
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (9)
Github contributions (5)
danieljprice/phantom
May 2017 - Sep 2022
Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 732 commits, 12 PRs in 5 years 5 months
Contributions summary:David appears to be focused on improving the visualization and analysis capabilities of the Phantom SPH code. They modified plotting routines and added new features, demonstrating a focus on scientific data analysis and visualization. They implemented modifications to the code related to general relativity, which included setting up a framework for handling general relativistic calculations by defining conserved variables for particles in a GR simulation and writing these variables into output files.
smoothed-particle-hydrodynamicsastrophysicsastronomyfortranhydrodynamic-modeling
ADACS-Australia/murano-jupyterhub
Nov 2021 - Feb 2024
Murano package for Nectar/Openstack, for creating a JupyterHub server, using The Littlest JupyterHub distribution
Contributions:12 releases, 2 PRs, 37 pushes in 2 years 3 months
jupyter-notebookjupyteropenstackjupyterhubdistribution
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